American Express

4 weeks ago

Managers, Data Science

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Develop predictive models using customer and merchant data to improve business forecasts and generate actionable insights. Partner with finance, risk, and business teams, using visualization and reporting tools to communicate results effectively. Research and deploy emerging technologies to advance quantitative analytical approaches and support business goals, with strong grounding in statistical and econometric modeling techniques.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Use machine learning techniques to improve forecasts and produce business insights.
•Partner across finance, risk, and business teams to derive strategic insights.
•Leverage visualization and reporting tools to support quantitative decision-making.
•Research emerging technologies and deploy them to advance quantitative analytical approaches.
•Develop predictive modeling for businesses incorporating customer behaviors and data granularity.

Pay and Benefits

Salary: USD 112,778 - 174,750 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsRetirement MatchParental LeaveWellness StipendCounseling Support

Key Requirements

•Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Information Systems, or a related field.
•2 years’ experience applying statistical and econometric modeling techniques to solve business problems in the financial industry.
•1 year each of experience with survival analysis, linear and logistic regression, time series analysis, panel data, decision tree analysis, and multivariate distribution theory.
•Experience researching and presenting complex statistical concepts to non-technical audiences.
•Advanced predictive analytics using large volumes of customer and merchant data, including data visualization (Tableau), database querying (SQL, Teradata, HiveQL), and machine learning (Python, R, SAS).

Experience:2+ yearsFinancial industry

Education:Master's in Data Science

Skills:Communicating complex ideasPartnering cross-functionallyResearchingDeploying technologies

Tech Stack:Machine learningPredictive analyticsTableauSQLTeradataHiveQLPythonRSASSurvival analysisLinear regressionLogistic regressionTime series analysisPanel dataDecision tree analysisMultivariate distribution theory

Company Brief

American Express

Industry: Payments

Website

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American Express

4 weeks ago

Managers, Data Science

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Use machine learning techniques to improve forecasts and produce business insights.
•Partner across finance, risk, and business teams to derive strategic insights.
•Leverage visualization and reporting tools to support quantitative decision-making.
•Research emerging technologies and deploy them to advance quantitative analytical approaches.
•Develop predictive modeling for businesses incorporating customer behaviors and data granularity.

Pay and Benefits

Salary: USD 112,778 - 174,750 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsRetirement MatchParental LeaveWellness StipendCounseling Support

Key Requirements

•Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Information Systems, or a related field.
•2 years’ experience applying statistical and econometric modeling techniques to solve business problems in the financial industry.
•1 year each of experience with survival analysis, linear and logistic regression, time series analysis, panel data, decision tree analysis, and multivariate distribution theory.
•Experience researching and presenting complex statistical concepts to non-technical audiences.
•Advanced predictive analytics using large volumes of customer and merchant data, including data visualization (Tableau), database querying (SQL, Teradata, HiveQL), and machine learning (Python, R, SAS).

Experience:2+ yearsFinancial industry

Education:Master's in Data Science

Skills:Communicating complex ideasPartnering cross-functionallyResearchingDeploying technologies

Company Brief

American Express

Industry: Payments

Website