Analyst-Data Science

American Express
Gurugram
Workplace: HybridFull timeFunction: Data Science & Machine Learning0Education: mastersSkills: ["Analytical thinking","Communication","Stakeholder management","Problem-solving"]

Drive customer engagement analytics for U.S. Small Business across Spend, Lend, and Beyond-the-Card by building modeling and experimentation frameworks. Use SQL and large datasets with Python-based analytics to develop insights on targeting, personalization, and propensity. Collaborate with Product and Marketing to design measurement, define success metrics, and translate analytical findings into actionable recommendations, while exploring GenAI to improve speed and scalability.

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FursaFursa
American Express
American Express
2 days ago

Analyst-Data Science

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Source: Company careers pageValidated by: Fursa AI
Last checked: 58 minutes agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Drive customer engagement analytics for U.S. Small Business across Spend, Lend, and Beyond-the-Card by building modeling and experimentation frameworks. Use SQL and large datasets with Python-based analytics to develop insights on targeting, personalization, and propensity. Collaborate with Product and Marketing to design measurement, define success metrics, and translate analytical findings into actionable recommendations, while exploring GenAI to improve speed and scalability.
Location: Gurugram
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Own analytics for U.S. Small Business customer engagement by identifying growth opportunities, developing customer-level insights, and recommending segmentation and targeting strategies.
  • •Partner with Product and Marketing to translate strategic questions into analytical plans, campaign design recommendations, success metrics, and actionable recommendations.
  • •Design and scale Test & Control and campaign measurement frameworks to quantify incremental impact, ROI, and optimization opportunities across targeting, messaging, and channel strategy.
  • •Apply statistical, machine learning, and modeling techniques (regression, decision trees, clustering, XGBoost) using SQL, Python, and large-scale datasets to solve engagement, propensity, and targeting problems.
  • •Automate and standardize analytical processes, dashboards, and measurement assets while exploring AI/GenAI to improve speed, accuracy, scalability, personalization, and engagement.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementPaid Parental

Key Requirements

  • •Master’s degree in a quantitative field (Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).
  • •0–2 years of professional experience in Data Science and Analytics.
  • •Strong proficiency in SQL and working with large datasets; experience with Python or similar analytical tools.
  • •Understanding of test & control, experimentation, campaign measurement, and statistical techniques.
  • •Experience with modeling techniques including XGBoost, clustering, decision trees, and regression.
Education:Master's
Skills:Analytical thinkingCommunicationStakeholder managementProblem-solving
Tech Stack:SQLPythonXGBoostClusteringDecision treesRegressionGenAIPrompt EngineeringRAGDashboardsStatisticsMachine learningExperimentation

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
WebsiteLinkedIn