American Express

4 days ago

Senior Manager - Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead data science initiatives to drive growth and data-driven strategies for Sales portfolio performance. Design, develop, and deploy predictive and explanatory analytics using machine learning, NLP, and generative AI, including GenAI-enabled analytics use cases. Build and evaluate scalable models and data pipelines, establish performance indicators, and communicate results to technical and non-technical stakeholders while leading a team of data scientists.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead design, development, and deployment of predictive and explanatory analytics solutions using machine learning, NLP, and generative AI.
•Drive high-impact analytics to inform Sales and client strategy and transform complex behavioral data into actionable insights.
•Lead GenAI analytics workstreams, including design, development, operationalization, success metrics, and ongoing monitoring.
•Develop modeling capabilities by building and evaluating scalable, interpretable models using modern ML frameworks.
•Lead and manage a team of data scientists while collaborating with cross-functional stakeholders and communicating progress to executive leadership.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability Insurance401kAnnual BonusPaid Leave

Key Requirements

•4-5 years of relevant work experience.
•Bachelor’s degree required, preferably in a quantitative field (e.g., Economics, Finance, Computer Science, Mathematics/Statistics, Engineering).
•Translate complex, unstructured business problems into quantitative models; demonstrate strong analytical and conceptual thinking.
•High proficiency in Python and SQL; experience applying machine learning to real-world business problems.
•Experience with data querying and distributed analytics tools (e.g., Hive, PySpark, BigQuery) and proficiency with ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Experience:4-5 yearsMachine learningBig dataGenerative AI

Education:Bachelor's in quantitative field (e.g., Economics, Finance, Computer Science, Mathematics/Statistics, Engineering)

Skills:Analytical thinkingConceptual thinkingStakeholder communicationPeople leadershipCross-functional collaboration

Tech Stack:PythonSQLTensorFlowPyTorchScikit-learnHadoopSparkHivePySparkBigQueryMatplotlibSeabornTableauNLPGenerative AILLMRAGETLMicrosoft ExcelMicrosoft Office

Company Brief

American Express

Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York City, United States

Founded: 1850

Website LinkedIn

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American Express

4 days ago

Senior Manager - Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead design, development, and deployment of predictive and explanatory analytics solutions using machine learning, NLP, and generative AI.
•Drive high-impact analytics to inform Sales and client strategy and transform complex behavioral data into actionable insights.
•Lead GenAI analytics workstreams, including design, development, operationalization, success metrics, and ongoing monitoring.
•Develop modeling capabilities by building and evaluating scalable, interpretable models using modern ML frameworks.
•Lead and manage a team of data scientists while collaborating with cross-functional stakeholders and communicating progress to executive leadership.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability Insurance401kAnnual BonusPaid Leave

Key Requirements

•4-5 years of relevant work experience.
•Bachelor’s degree required, preferably in a quantitative field (e.g., Economics, Finance, Computer Science, Mathematics/Statistics, Engineering).
•Translate complex, unstructured business problems into quantitative models; demonstrate strong analytical and conceptual thinking.
•High proficiency in Python and SQL; experience applying machine learning to real-world business problems.
•Experience with data querying and distributed analytics tools (e.g., Hive, PySpark, BigQuery) and proficiency with ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Experience:4-5 yearsMachine learningBig dataGenerative AI

Education:Bachelor's in quantitative field (e.g., Economics, Finance, Computer Science, Mathematics/Statistics, Engineering)

Skills:Analytical thinkingConceptual thinkingStakeholder communicationPeople leadershipCross-functional collaboration

Tech Stack:PythonSQLTensorFlowPyTorchScikit-learnHadoopSparkHivePySparkBigQueryMatplotlibSeabornTableauNLPGenerative AILLMRAGETLMicrosoft ExcelMicrosoft Office

Company Brief

American Express

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York City, United States

Founded: 1850

Website LinkedIn