Senior Analyst-Data Science

American Express
Gurugram
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Teamwork","Independent thinking","Organization","Attention to detail","Communication","Ability to learn quickly","Multi-tasking","Cross-functional collaboration"]

Use big data and advanced analytical techniques to build predictive models that improve customer experiences. Evaluate structured and unstructured data sources, develop everything from reporting to deep learning and boosting algorithms, and turn business problems into mathematical programming solutions. Collaborate with cross-functional partners worldwide within American Express Credit and Fraud Risk Decision Science teams, delivering model insights and actionable recommendations.

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FursaFursa
American Express
American Express
21 hours ago

Senior Analyst-Data Science

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Use big data and advanced analytical techniques to build predictive models that improve customer experiences. Evaluate structured and unstructured data sources, develop everything from reporting to deep learning and boosting algorithms, and turn business problems into mathematical programming solutions. Collaborate with cross-functional partners worldwide within American Express Credit and Fraud Risk Decision Science teams, delivering model insights and actionable recommendations.
Location: Gurugram
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Work with large volumes of customer, bureau, and third-party data in a big data environment.
  • •Build reporting and advanced machine learning models and algorithms to improve customer experiences.
  • •Evaluate new structured and unstructured data sources and modeling techniques to enhance predictions.
  • •Develop insights into customer behavior and introduce approaches to make complex behavioral data actionable.
  • •Collaborate with cross-functional business partners to engineer solutions and deliver model-driven insights.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityPaid ParentalRetirementAnnual BonusMedical

Key Requirements

  • •Masters/PhD in a quantitative field or MBA with hands-on experience using analytical and machine learning techniques.
  • •2+ years of experience in modeling and building predictive solutions.
  • •Proficiency in an analytical language such as Python or R, and experience with databases like Hive or SQL.
  • •Deep understanding of machine learning/statistical algorithms including deep learning and boosting; data visualization is a plus.
  • •Ability to frame business problems into mathematical programming problems and deliver business insights, working effectively in a team and communicating clearly.
Experience:2+ years
Skills:TeamworkIndependent thinkingOrganizationAttention to detailCommunicationAbility to learn quicklyMulti-taskingCross-functional collaboration
Tech Stack:PythonRHiveSQLExcelPowerPointMachine learningDeep learningBoostingData visualizationBig data

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