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Tier-1 brand, metro location and popular Data Scientist title balanced by senior, specialized Trust & Risk requirements.
Requires marketplace Trust & Risk and strategic analytics experience, limiting cross-industry transferability.
Explicit 8–12 years requirement, domain expertise and mandatory technical stack (Python/R/SQL) increase filter strictness.
Define and lead analytical strategy across multiple Trust & Risk domains to prioritize high-impact opportunities and guide decision-making.
Develop and standardize enterprise-level measurement frameworks for customer trust, transaction risk, losses, and decision quality across complex portfolios.
Partner with senior leaders across functions to influence cross-organizational decisions, ensuring analytical investments align with business priorities and deliver measurable impact.
Bachelor's degree with 8-12 years or Master's/PhD with 6+ years of relevant experience in quantitative research, analytics, or data science.
Strong proficiency in Python/R programming and SQL for data querying and analysis.
Experience leading multiple complex analytical workstreams simultaneously with measurable business outcomes.
Work Experience Required: 8-12 years (Bachelor) or 6+ years (Master's/PhD) in relevant fields.
Proven ability to translate complex, ambiguous business problems into clear analytical strategies with significant organizational impact.
Experience in marketplace Trust, Risk, fraud, transaction risk, or related domains, particularly in e-commerce or technology companies.
Demonstrated success influencing senior executives and cross-functional teams without direct authority while driving alignment on priorities and investments.