field_job_employment_type

job_industry

field_job_occupational_field_parents_all

job_organization_name

You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.Our industry is rapidly evolving, and we need courageous, quick thinkers who can shape the strategic decisions that lead our business forward. Whether it’s negotiating with some of our largest global partners or creating next year’s financial plan, you can influence both our day-to-day P&amp;L and the future direction of the company. As part of the team, you can have the opportunity to learn and use the latest data tools and technologies and explore a range of roles to grow your career. Find your place in finance on #TeamAmex.Finance Data Science &amp; Analytics team’s focus is to build predictive models grounded in data and leverage Machine Learning techniques to add stability and predictability to the AXP P&amp;L. FDS team’s goal is to help the organization make fact-based and scientifically developed decisions around risk and opportunities.Responsibilities:<ul><li>Lead the design, planning, and execution of machine learning projects, ensuring alignment with the company’s strategic goals and objectives.</li><li>Innovate with a focus on developing newer and better revenue models using big data and machine learning solutions.</li><li>Design, develop, and deploy machine learning models to predict spending and lending patterns, delivering value to finance colleagues and business partners.</li><li>Leverage causal inference framework to determine drivers and their contribution in revenue growth</li><li>Utilize advanced data analysis and visualization techniques to explain model outputs and extract insights that support decision-making processes.</li><li>Collaborate with key stakeholders, including senior management, partners, and the model validation group, to drive the success of machine learning projects.</li><li>Lead model documentation efforts and partner with the model validation team to ensure compliance with regulatory guidelines.</li></ul>Minimum Qualifications:<ul><li>Minimum of 3+ years of experience in data science or machine learning, with a focus on developing and deploying machine learning models.</li><li>BS/MS or PhD in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Chemistry, Operations Research, etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.</li><li>Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (Hive, SQL, or the equivalent) is required.</li><li>Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.</li><li>Ability to work effectively in a team environment.</li><li>Independent thinker who is organized, has great attention to detail, and can multi-task.</li><li>&nbsp;Strong communication skills, Ability to integrate with cross-functional business partners worldwide.</li><li>&nbsp;Ability to learn quickly and work independently with sophisticated, unstructured initiatives.</li></ul>Preferred Qualifications: <ul><li>Experience with data visualization is a plus.</li><li>Machine Learning Knowledge: Deep understanding of machine learning/statistical algorithms such as deep learning, boosting, and causal inference.&nbsp;</li></ul>Considerations for sponsorship:Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws,American Express may provide visa sponsorship for certain positionsSalary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.

American Express

Manager - Data Science

You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you’re finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in risk and analytics on #TeamAmex.Smart Monitoring is an industry-leading and an award-winning Risk Monitoring/Control Testing platform owned and managed by the Global Risk Compliance and it leverages high technology, automation, and data science to detect, predict and prevent risks. Its patent-pending approach uniquely combines advances in data science and technology (AI, machine learning, cloud computing) to transform risk management. The Smart Monitoring Center of Excellence is a comprised of group of experts that leverage the Smart Monitoring platform to build and manage Key Risk Indicators (KRIs) and Automated Control Tests (ACTs) that monitor risks and detect control failure across AXP, supporting Business Units and Staff Groups, Product Lines and Processes. Smart Monitoring Center of Excellence team supports the businesses with a mission to enable business growth and objectives while maintaining a strong control environment. We are seeking a Data Scientist to join this exciting opportunity to grow Smart Monitoring COE multi-folds in 2024 and 2025. As a member of SM COE, the incumbent will be responsible for identifying opportunities to apply new and innovative ways to monitor risks through KRIs/ACTs and execute appropriate strategies in partnership with Business, OE, Compliance, and other stakeholder teams. Key activities for the role will include:&nbsp;<ul><li>Identify opportunities to build a models to predict, and/or detect process breakdown&nbsp;</li><li>Build/enhance machine learning algorithm to apply to customer complaints / chats to identify operational breakdown and remediate at earliest time possible</li><li>Lead a R&amp;D efforts to leverage external data (social forums, etc.) to generate insights for operational/compliance risks </li><li>Provide rigorous analytics solutions to support critical business functions and support machine learning solutions prototyping</li><li>Manage the development and maintenance of analytical / statistical algorithm that is currently used to detect out-of-pattern trend</li><li>Communicate the technical algorithm to diverse partners</li><li>Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights</li><li>Collaborate with Data Engineers, to implement the novel ML algorithms in production</li></ul>Qualifications: <ul><li>Masters/PhD in a quantitative field (Computer Science, Statistics, Mathematics, Operation Research, etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. Strong preference for candidates with 3-4+ years of working experience driving business results</li><li>Demonstrated ability to frame business problems into machine learning problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights and optimal control policy</li><li>Creativity to go beyond the status-quo to construct and deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects</li><li>Deep understanding of machine learning/statistical algorithms such as time series analysis and outlier detection, neural networks/deep learning, boosting and reinforcement learning. Experience with data visualization a plus</li><li>Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (GCP, SQL, or the equivalent)</li><li>Prior experience working with Big Data tools and platforms (Hadoop, Spark, or the equivalent)</li><li>Experience in building NLP solutions and/or GEN AI are strongly preferred</li><li>Self-motivated with the ability to operate independently and handle multiple workstreams and ad-hoc tasks simultaneously.</li><li>Team player with strong relationship building, management and influencing skills</li><li>Strong verbal and written communication skills</li></ul>Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.

Manager-Data Science

ABOUT ROCKET LABRocket Lab is a global leader in launch and space systems. The rockets and satellites we build and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations. Our Electron rocket has provided reliable access to orbit since 2018, becoming one of the most frequently launched rockets in the world. Neutron will be our next rocket on the launch pad, an advanced 13-tonne payload class, reusable rocket to launch the mega constellations of the future. Our space systems business includes our extensive line of satellites and components that have enabled more than 1,700 missions including the James Webb Space Telescope, NASA Psyche Mission, Artemis I, Mars Ingenuity helicopter, and more. &nbsp;Join our pioneering team and launch your career to new heights!FACILITIESRocket Lab’s Facilities team is responsible for maintenance, operations, and improvements projects across our locations, making sure that the facilities our teams use every day are well looked after and operating as they should.ENVIRONMENTAL HEALTH &amp; SAFETY MANAGERBased out of Rocket Lab's Headquarters in Long Beach, CA, the Environmental Health &amp; Safety Manager is responsible for the delivery of Health and Safety operations and support for Rocket Lab’s Long Beach facilities. You will support the Director of Production and Health &amp; Safety organization, with deliverables required for internal leadership, board of directors, and investors.WHAT YOU’LL GET TO DO: <ul><li>Provide US based support in the Long Beach Headquarters factory (RLHQ) and Engine Development Center (EDC) for managers and staff relating to occupational health and safety regulations and compliance in the U.S.</li><li>Support US Production Operations team, Engineering and Program Management with their delivery of Company mandated occupational health and safety management systems (Also under the direction of the company H&amp;S Manager) in accordance with the site H&amp;S operation plans.</li><li>Promote the general involvement and engagement of staff in H&amp;S activities in their workgroups. Facilitate the inclusion of H&amp;S matters in everyday production activities (Consistent with companywide activities and programs).</li><li>Provide health and safety services for the business specifically:<ul><li>Task / job / equipment-based Risk Assessment and advice / guidance to department managers / supervisors.</li><li>Deliver internal training in H&amp;S topics for US Personnel and coordinate external H&amp;S training requirements.</li><li>Support and facilitate the development of the employee H&amp;S Committee and produce H&amp;S performance data.</li><li>Site Emergency response coordination in case of emergency, and emergency preparedness maintenance.</li><li>Coordination of relations with CAL-OSHA, VA-OSHA and CAL EPA, Long Beach Fire Dept.</li><li>Incident (accident) immediate response, first aid and investigation services. (Act as chief / deputy fire warden).</li><li>Occupational health monitoring, surveillance management and health wellness and wellbeing services.</li><li>Injury case coordination, rehabilitation, and work-based assessment for return to work process.</li><li>Management of hazardous substance management and hazardous waste streams and all compliance related topics.</li><li>Act as an IIPP program manager for RLHQ and EDC facilities.</li><li>Coordinate environmental compliance for RLHQ and EDC operations.</li><li>Perform industrial hygiene services for RLHQ and EDC operations.</li><li>Support delivery of occupational health and safety services at other US Rocket Lab locations when required for specific projects.</li></ul></li></ul>YOU’LL BRING THESE QUALIFICATIONS:<ul><li>Associate's degree in Health &amp; Safety, Environmental Technology, or similar field</li><li>8+ years’ experience in occupational health and safety in a light manufacturing, aerospace environment, construction environment or logistics-based role</li><li>Occupational health &amp; safety skills to include risk assessment, policy, training, project management, hazardous substances, and safety in manufacturing engineering</li></ul>THESE QUALIFICATIONS WOULD BE NICE TO HAVE: <ul><li>Bachelor's degree in Health &amp; Safety, Environmental Technology, or similar field</li><li>Certified Health &amp; Safety Professional</li><li>10+ years’ experience in occupational health and safety in a light manufacturing, aerospace environment, construction environment or logistics-based role</li><li>Knowledge and practical experience in emergency management and / or occupational health and workplace hygiene</li><li>Membership of a relevant Safety organization such as ACGIH, ASSP or similar</li></ul>ADDITIONAL REQUIREMENTS&nbsp;<ul><li>Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to focus.&nbsp;&nbsp;&nbsp;</li><li>Regularly required to sit, use hands and fingers, operate computer keyboard and controls, and communicate verbally and in writing.&nbsp;&nbsp;</li><li>Must be physically able to commute to buildings&nbsp;</li><li>Occasional exposure to dust, fumes and moderate levels of noise.&nbsp;</li></ul>Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.Base salary is just one component of our total rewards package at Rocket Lab.&nbsp; Employees may also receive company equity and access to a robust benefits package including: top tier medical HMO, PPO &amp; a 100% company-sponsored medical HSA plan option, dental and vision coverage, 3 weeks paid vacation and 5 days sick leave per year, 11 paid holidays per year, flexible spending and dependent care savings accounts, paid parental leave, disability insurance, life insurance, and access to a 401(k) retirement plan with company match. Other perks include: Discounted employee stock purchase program, subsidized EV charging stations, onsite gym, food and drinks, childcare concierge, and other discounts. Eligibility for benefits may vary based on employment status, please check with your recruiter for a comprehensive list of the benefits available for this role. Benefit programs are subject to change at the company’s discretion.Base Pay Range (CA Only)$100,000—$130,000 USDWHAT TO EXPECT&nbsp;We’re on a mission to unlock the potential of space to improve life on Earth, but that’s not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work and out-pace. We pride ourselves on having each other’s backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way.&nbsp;&nbsp;&nbsp;Important information:FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY:To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here.Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Biow at <a href="mailto:g.biow@rocketlabusa.com.This" target="_blank">g.biow@rocketlabusa.com.This</a> dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days.FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY:For security reasons background checks will be undertaken prior to any employment offers being made to an applicant.&nbsp; These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations.&nbsp;Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality.&nbsp; For more information on these Regulations, click here&nbsp;ITAR Regulations.

Rocket Lab

Environmental Health & Safety Manager

<h4>You Lead the Way. We’ve Got Your Back.</h4>With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our&nbsp;company values&nbsp;and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you’re finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in analytics on #TeamAmex. <h4>How will you make an impact in this role?</h4>Global Commercial Services (GCS) is the global leader in providing payments solutions for Small, Medium, and Large Enterprises. We are in the business of helping our clients get business done! Accelerating sales and driving profitable charge volume growth are crucial for the success of the organization. The Sales Enablement team is instrumental in driving these objectives.The Senior Manager will play a critical role supporting the development of growth and data-driven strategies to improve Sales portfolio performance and drive execution, while working alongside senior leadership within GCS. The ideal candidate should demonstrate creativity, curiosity, and passion for dealing with large amounts of data and converting it into valuable, actionable information. We seek a thought-leader and a problem-solver who can blend business, technical, and industry standard methodologies when it comes to developing data-driven solutions.The position will provide consultative support to the GCS Sales leadership team through development of analytical solutions. The incumbent will highlight trends, risks, and opportunities to enhance business decision-making processes, while working very closely with Sales, Marketing, Finance, Technology, and Capabilities partners to drive Sales growth. The incumbent will lead a team of data scientists to design, develop, and test ML-derived solutions that deliver higher client engagement and improve efficiency. The role is positioned at a unique intersection of analytics and informing business outcomes. This is a fast-paced environment requiring a mix of strong relationship skills, passion for applied data science, people leadership, and a singular focus on excellence.<h4>Responsibilities:</h4><ul><li>Lead Data Science Projects:&nbsp;Design, develop, and implement predictive and explanatory analyses that address critical business problems, leveraging expertise in machine learning, NLP, generative AI, and other areas. Strengthen forecasting, refine incentive plan designs, and identify gaming behaviors</li><li>Drive Analytics: Create world class analytics and add valuable insights to inform strategy. Develop actionable insights into Sales and client behavior, and introduce new approaches to transform complex behavioral data, and influence decision-making and strategic direction across the organization</li><li>Develop Modeling Capabilities:&nbsp;Hands-on experience with popular frameworks like TensorFlow, PyTorch, Transformers, etc., focusing on scalability, performance, and interpretability</li><li>People Leadership: Lead a team of high-performing data scientists</li><li>Collaborate Across Teams:&nbsp;Establish and maintain close relationships with key cross-functional partners to understand business strategies, develop goals, and address opportunities</li><li>Develop Scalable Solutions:&nbsp;Architect and deploy robust, efficient, and scalable data pipelines and modeling solutions using cloud-based technologies (e.g., Lumi) and programming languages like Python, Spark, etc. </li><li>Lead Innovation Through External Perspective:&nbsp;Research emerging trends and advancements in machine learning, deep learning, NLP, and generative AI; apply this knowledge to solve complex problems; translate theoretical advances into practical, scalable solutions that drive the business forward. Challenge status quo, innovate, and harbor strong curiosity</li><li>Define Performance Indicators: Lead analytics and measurement across key performance indicators. Own key stakeholder and executive level communications on progress of committed initiatives, including provision of automated monthly measurement focusing on specific strategic initiatives</li><li>Communicate Insights Optimally: Present findings, recommendations, and results successfully to both technical and non-technical audiences, including executive leadership, via clear reports, visualizations, and presentations, to enable data-driven decision making</li></ul><h4>Minimum Qualifications:</h4><ul><li>3-4 years of relevant work experience</li><li>Bachelor’s Degree required, preferably in a quantitative field (e.g., Economics, Finance, Computer Science, Mathematics/ Statistics, Engineering)</li><li>Strong analytical and conceptual thinking acumen, with demonstrated ability of translating complex, unstructured business problems into mathematical programming models. Leverage external insights and tools (from academia or other industries) where needed</li><li>Capable of articulating key findings to senior leadership and stakeholders, leveraging insights to influence business decisions</li><li>Familiarity with machine learning libraries and frameworks (e.g., Tensorflow, PyTorch, scikit-learn) and experience applying algorithms to real-world business problems</li><li>High proficiency in Python/SQL is required</li><li>Proficiency in analytical and statistical tools (e.g., Hive, PySpark, scikit-learn etc.) is required</li><li>Experience in Big Data environment, inclusive of data mining techniques and data processing. Ability to address performance issues and to manipulate both structured and unstructured data</li><li>Proven experience with data visualization and reporting tools (e.g. matplotlib, seaborn, Tableau) </li><li>Proficiency with industry recognized ETL methods, processes and standards</li><li>Advanced knowledge of Microsoft Office Suite (Excel pivot, macros, deck-writing)</li><li>Strong communication skills, capable of explaining analyses in audience-appropriate terms</li><li>Ability to work independently as well as collaboratively in a dynamic, cross-functional environment, with a strong attention to detail and passion for learning</li></ul><h4>Preferred Qualifications:</h4><ul><li>Masters/PhD in a quantitative field (Computer Science, Statistics, Econometrics, Mathematics, Physics, Operation Research, Engineering, etc.)&nbsp; &nbsp;</li><li>2+ years’ experience of applying machine learning techniques to real-world business problems</li><li>Experience with Hadoop and Spark is a plus</li><li>· &nbsp;&nbsp; People leadership experience</li></ul>Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.

Senior Manager - Data Science

You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives.&nbsp; Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems.&nbsp; Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source.&nbsp; And because we understand the importance of keeping your skill fresh and relevant, we give you dedicated time to invest in your professional development.&nbsp; Find your place in technology on #TeamAmex.&nbsp;&nbsp;Let’s share success.Global Infrastructure Product Services aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost transparency.&nbsp;As the Data Science team in Global Infrastructure Product Services embarks on building and deploying advanced data science and machine learning (ML) models, we are looking for a senior data scientist to build, deploy and monitor models in production.&nbsp; This is an individual contributor role with responsibilities ranging from hands-on coding, debugging, documentation to stakeholder management and presentations.A successful data scientist knows that delivering on that promise takes foresight, planning and agility.&nbsp; We are seeking data scientists who are not only technically adept, but also understand the importance of harnessing the power of data to streamline financial operations, enhance decision-making and improve business outcomes.&nbsp;This team is focused on developing and maintaining dynamic technology infrastructure cost allocation and production models. The financial forecasting models will help ensure that our technology spending is transparent, efficient, and properly aligned with our strategic objectives. The role requires a blend of technical prowess in data engineering, data science, MLOps, and an understanding of enterprise infrastructure components &amp; their economics.Let’s build on what you know.If you are a pioneer in developing and continuously evolving data science models in production that drive and monitor infrastructure and cost consumption analysis, you'll find a fit in our Data Science team in Global Infrastructure Product Services. To succeed in this newly forming team, you’ll need to be comfortable navigating ambiguity to stand up solutions 0à1 while discovering and leveraging enterprise platforms and best practices.&nbsp;Here’s just some of what you’ll do:<ul><li>Design and build scalable solutions using AI and Machine Learning (Generative AI, Natural Language Processing, Reinforcement Learning, and Time Series predictions) in financial forecasting and optimizing infrastructure resource utilization to help further mature our FinOps and AIOps framework</li><li>Own the model building and refining from identifying business problems, collecting training dataset, analyzing data, modeling, validating to delivering production grade solutions at scale.</li><li>Drive high-level and detailed technical design conversations and reviews</li><li>Be responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration</li><li>Work closely with stakeholders across Technology, Finance and business unit portfolio leaders to define scope, requirements and incorporate cost drivers, allocation methods, and infrastructure nuances</li><li>Ensure best practices are aligned with Enterprise Architecture and ML COEs</li><li>Develop SQL queries, scripts and routines to automate data processing and enhance the model’s accuracy and efficiency</li><li>Generate insightful data visualization and reports to aid in decision-making</li><li>Lead training sessions and create comprehensive documentation to empower end users to leverage the cost model effectively </li><li>Provide technical mentorship to team members at junior levels</li><li>Function as an active member of an agile team </li></ul>Are you up for the challenge?&nbsp; Here’s what you should have:<ul><li>Master’s degree in Data Science, Mathematics, Computer Science, Engineering, Information Systems, or related STEM fields. </li><li>3+ years full lifecycle product development and engineering leadership in highly available, highly scalable, and high throughput systems</li><li>Demonstrated experience in building and owning data science solutions and pipelines within the MLOps ecosystem in at least 2 of the 3 major cloud platforms (Vertex AI, Azure Machine Learning, AWS Sagemaker). </li><li>Experience in automating, troubleshooting and upgrading data &amp; machine learning pipelines that allow model retraining and continuous monitoring</li><li>Hands-on expertise with handling distributed (multi-tiered) systems and automated testing – unit and performance testing</li><li>Demonstrated experience in building and deploying a diverse set of Machine Learning (GLM, GBM, Neural Networks) and NLP solutions at scale </li><li>Proficiency and Hands-on Experience with Git, CI/CD tools, Elasticsearch, and a solution in each category: Orchestration, Container, Model Serving, Observability, and Feature Store</li><li>Strong proficiency in programming with Python, Machine Learning libraries and APIs (TensorFlow, Keras, PyTorch, ScikitLearn, H20.ai, XGBoost)</li><li>Experience in deploying out-of-the box LLMs and Generative AI solutions.</li><li>Experience in data visualization and observability with a focus on real time serving and monitoring of time series data with alerts</li><li>Thorough understanding of enterprise infrastructure technologies (Compute, Storage, Network, Mainframe) to inform model development</li><li>Strong project management skills and effective stakeholder management skills, coupled with a continuous improvement mindset</li><li>Excellent presentation and communication skills, capable of explaining complex technical choices in simple terms to a diverse audience</li><li>Experience in Financial Services industry is preferred</li></ul>Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Senior Data Scientist

You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let’s lead the way together.How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you’re finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in risk and analytics on #TeamAmex.At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are on the lookout for a Senior Manager in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP) and Generative AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.As a Senior Manager, NLP and Generative AI, you will contribute to the development and implementation of cutting-edge NLP solutions that address significant business challenges. Working closely with cross-functional teams, you will leverage your expertise in NLP to streamline and enhance automation of key servicing processes, uncover customer insights more effectively from untapped data assets, enhance risk and marketing decisions by leveraging unstructured data and improve our internal operational processes by optimizing and automating essential business workflow . Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.Key Responsibilities<ul><li>Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.</li><li>Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities, focusing on delivering practical business solutions.</li><li>Pilot new projects that leverage AI/NLP to uncover insights from vast data sets, driving decisions and innovations that enhance customer satisfaction and operational efficiency.</li><li>Implement robust project management frameworks to oversee the end-to-end development lifecycle of AI projects, from initial concept to deployment and evaluation.</li><li>Foster a culture of continuous innovation by staying abreast of the latest trends in AI and NLP, and actively sharing knowledge and insights to contribute to the collective growth and technical proficiency of the team.</li><li>Communicate effectively with stakeholders at all levels, translating complex AI concepts into understandable and actionable insights.</li><li>Collaborate with the Technology team to integrate NLP solutions into our existing systems and platforms, enhancing functionality and user engagement.</li></ul>Qualifications<ul><li>Ph.D. degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).</li><li>5+ years of experience in machine learning, NLP, and Generative AI, with a demonstrated ability to manage projects from inception to completion.</li><li>Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects that have delivered tangible business outcomes.</li><li>Good understanding of state-of-art ML and deep learning techniques including transformers, BERT,auto-regressive language models, and other un-supervised learning techniques in NLP</li><li>Experience with working with large language models such as chatGPT, Llama, PaLM, Bard, Bloom, Vicuna, Mistral, etc.</li><li>Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment.</li><li>Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.</li><li>Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.</li></ul>Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.

Senior Manager-Data Science

You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our&nbsp;company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.The Analytics and Investment Management (AIM) team – a part of Global Commercial Services Marketing Organization – is the analytical engine that enables the Global Commercial business.AIM is responsible for targeting, acquiring, engaging, and retaining commercial customers over online and offline channels and delivering world-class analytics, insights and data products for the Global Commercial Services (GCS) organization. In this role, the incumbent will be leading the Sales Prospecting Analytics team within AIM.&nbsp;Key Responsibilities include:Ideal candidate will own end-to-end analytics required for driving, targeting &amp; personalization strategies across Sales channels which is one of the key acquisition channels for Amex US Commercial Card Business.<ul><li>Design analytics powered strategies for driving Prospect acquisitions across sales channels.</li><li>Partner with colleagues across Sales, Marketing, Product, Finance, and Decision science teams to assess and identify opportunities for driving prospect acquisitions.</li><li>Play a critical role in enhancing card member value (CMV) targeting framework for driving profitable acquisitions.</li><li>Strong people leader who can lead, motivate, and coach the team and is able to foster a collaborative team environment. Prioritizing efforts to help the team focus on the most impactful opportunities.</li></ul>Minimum Qualifications:<ul><li>Master’s degree in a quantitative field preferred or MBA.</li><li>High quality written and oral communication skills with ability to synthesize key points/priorities and influence business decision making.</li><li>Proven ability to build strong cross-functional relationships, and extensive experience engaging with and influencing partners across various functions.</li><li>Strong analytics, quantitative, thought leadership, and project management skills with a demonstrated proficiency in managing multiple projects simultaneously.</li><li>Proven ability to translate analytical results into data-driven business strategies.</li><li>Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.</li><li>Willingness to challenge the status quo; breakthrough thinking to generate insights, alternatives, and opportunities for business success.</li><li>Ability to travel on a limited basis.</li></ul>Preferred Qualifications:<ul><li>Experience with Salesforce</li></ul>Salary Range: $150,000.00 to $225,000.00 annually + bonus + equity (if applicable) + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.&nbsp;We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees -&nbsp;Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.

Director - Data Science

You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our&nbsp;company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.Business Unit / Role Specific InfoAt American Express, we maximize the latest in data science, analytics techniques and visualization tools to drive out business forward through smart predictions actionable insights. We are passionate about solving business problems through data and technology and this internship will allow candidates to work closely with a of high-performing colleagues responsible for developing and implementing in-depth data analytics. Many of these outputs are foundationally important to better understand our business and to drive effective strategies.We expressly empower colleagues to harness the power of our data unlock potential through Data, Technology &amp; innovation. Finance data scientists have highly visible roles with frequent exposure to teams across the Enterprise, including business partners, Risk, and others. Given the broad remit of our teams, an ideal candidate will bring a unique balance of strong analytical and communication skills.Candidates will be asked to help define new methods of prediction that are aligned with them with our business strategy.How will you make an impact in this role?:<ul><li>Innovate and develop new, more sophisticated ways to track, analyze, and forecast customer behaviors and trends to inform both near- and longer-term business strategies</li><li>Develop and / or enhance machine learning modelling techniques to forecast spend, lend and other metrics which sit within the team’s purview</li><li>Develop techniques and tools to influence American Express’s decisions on credit, fraud, and recessionary preparedness</li><li>Support balance sheet management by focusing on efficient asset-liability management, liquidity risk management along with capital adequacy</li><li>Play the role of strategic advisors as the guide on spend trends, converging data [e.g., multivariate analyses] to parse weak signals and get ahead of inflection points</li></ul>This position will be based in New York CityMinimum Qualifications:<ul><li>Currently enrolled in a full-time graduate degree program in Applied Mathematics, Computer Science, Data Science Engineering, Quantitative Finance, or Statistics</li><li>A graduation date between&nbsp;December 2025 and June 2026</li></ul>Preferred Qualifications:<ul><li>Hands-on experience dealing with large quantities of complex data and ability to derive actionable insights from those data</li><li>Proficiency in SQL and Python or PySpark</li><li>Machine learning development and experience in application of advanced predictive analytics</li><li>Experience with Power BI, Tableau or other visualization tools</li><li>Proven experience communicating technical concepts to non-technical audiences, bridging the gap between academic outputs and real-world applications</li><li>Highly levels of motivation and intellectual curiosity combined with excitement to work on ‘whitespace’ projects</li><li>Intuition for striking the right balance between speed and accuracy</li><li>Ability to break down / implement complex ideas and create structured output from data in an explainable way</li><li>Strong analytical, organizational, and problem-solving skills with distinguished attention to detail</li></ul>Our team will review completed applications on a rolling basis. We appreciate your patience while we consider your application and will be in contact with youSalary Range: $38.45 to $87.00 hourly + sign-on bonusThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws,&nbsp; American Express may provide visa sponsorship for certain positions.We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries</li><li>Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)</li><li>Free and confidential counselling support through our Healthy Minds program</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our&nbsp;Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees -&nbsp;Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window: <a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.

Campus Graduate - 2025 Data Science Finance Summer Internship New York, NY

American Express Travel Related Services Company, Inc. seeks Analysts, Data Science to review existing data systems designs based on analyzed data to help streamline data reporting processes. Analyze customer data to develop data-driven business strategies. Update business intelligence tools, databases, dashboards, systems, and methodologies. Develop competitive market strategies via analysis of related products, market, and share trends. Partner with Marketing, Sales, and other business teams across the enterprise to implement strategic data science initiatives.Position requires a Master’s degree in Statistics, Mathematics, Data Science, Data Analytics, Business Intelligence, Computer Science, Engineering, Information Systems, or a related field, and 2 years of experience with analyzing customer data to identify trends and develop business strategies. Experience must include: 1 year of experience with each of the following: Analyzing complex financial datasets and perform data mining to identify commercial trends; Developing data-based strategic initiatives to enhance business performance; Presenting data-driven analyses to technical and non-technical teams; Creating and maintaining business intelligence systems, including MS Excel spreadsheets and MS Access databases; Data visualization tools, including MS Excel, Tableau, and Snowflake; and Agile methodologies, C++, ER-win, MySQL Server, Python, R, RBDMS, SAS, Scrum methodologies, and SQL. Telecommuting is available up to 3 days per week.Job Location: New York, NYSalary Range: $111,966.00 to $115,000.00 annuallyWe back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.US Job Seekers/Employees -&nbsp;Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider a number of job-related factors, including experience and location.#LI-DNI

Analysts, Data Science

You Lead the Way. We’ve Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join Team Amex and let's lead the way together.Business Unit/Role Specific InfoAs a Data Science colleague, you have the opportunity to make your mark on technology and life at American Express. You’ll be challenged everyday as we work together to create digital products and develop actionable data-driven insights to meet the customers of tomorrow. It is an exciting opportunity for someone who wants to help shape digital experiences for one of the world’s top brands.&nbsp;Where are these roles located within American Express?&nbsp;Global Decision Science : Data Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry standard processes when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.&nbsp;This vital team is responsible for leading enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.&nbsp;How Will You Make an Impact in This Role?&nbsp;Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.&nbsp;What type of work can you expect to do in Data Science at American Express?&nbsp;The specific job responsibilities would depend on the team you are selected in for a summer internship role. Broadly the role could entail some of the below listed responsibilities:&nbsp;<ul><li>Work with extensive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.&nbsp;</li></ul><ul><li>Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.&nbsp;</li></ul><ul><li>Develop insights into customer behavior and introduce new directions to transform complex behavioral data into useful information&nbsp;</li></ul><ul><li>Bring to bear the power of closed loop through Amex network to make decisions more intelligent and relevant&nbsp;</li></ul><ul><li>Innovate with a focus on developing newer and better approaches using big data &amp; machine learning solutions&nbsp;</li></ul>Minimum Qualifications<ul><li>Currently enrolled in a full-time Masters/PhD degree program in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience using sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.&nbsp;</li></ul><ul><li>Students must have a graduation date between December 2025 and June 2026</li></ul>Preferred Qualifications<ul><li>Passion for improving end-to-end customer experience, innovation and customer first thinking&nbsp;</li></ul><ul><li>Proven track record to frame business problems into mathematical programming problems to engineer a solution and deliver business insights&nbsp;</li></ul><ul><li>Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent)&nbsp;</li></ul><ul><li>Ambitious thinker who’s organized, has excellent attention to detail, and can multi-task&nbsp;</li></ul><ul><li>Ability to blend big picture thinking with fine details and lead many stakeholders&nbsp;</li></ul><ul><li>Willing to try new things, experiment, and share fresh perspectives&nbsp;</li></ul><ul><li>Proficient in presentation tools, including Excel and PowerPoint&nbsp;</li></ul><ul><li>Excellent written and verbal communication skills&nbsp;</li></ul>Our team will review completed applications on a rolling basis. We appreciate your patience while we consider your application and will be in contact with you.Salary Range: $38.45 to $87.00 hourly + sign-on bonusThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positionsWe back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:<ul><li>Competitive base salaries</li><li>Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)</li><li>Free and confidential counselling support through our Healthy Minds program</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the&nbsp;Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window:&nbsp;<a href="https://www.dol.gov/agencies/ofccp/posters&nbsp;to" target="_blank">https://www.dol.gov/agencies/ofccp/posters&nbsp;to</a> access the three posters.

12 Natural and Environmental Sciences Jobs