Data Scientist
New
J
JobgetherMarketplace trust and risk
Based in India, Availability for regular meetings between 9:00 AM and 12:00 PM Pacific Daylight Time (PDT).Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- Bachelor's degree with 5–7 years of relevant experience, or a Master's degree or PhD with at least 3 years of relevant experience.
- Required Skills
- PythonSQLData scienceStakeholder managementR
Requirements
- Hold a bachelor's degree and have 5–7 years of relevant experience, or hold a master's degree or PhD and have at least 3 years of relevant experience.
- Have experience in at least two of Quantitative Research, Analytics, or Data Science.
- Demonstrate the ability to identify trends, patterns, and business implications in complex datasets.
- Have experience developing analytical frameworks and translating findings into strategic and operational recommendations.
- Be proficient in Python or R and have strong SQL querying skills.
- Be able to independently lead complex analytical initiatives and deliver measurable outcomes.
- Show strong structured thinking, creativity, and problem-solving abilities for ambiguous, cross-functional challenges.
- Understand how to balance customer experience, risk management, and business performance.
- Communicate complex analyses clearly and influence senior-level decision-makers.
- Be flexible collaborating remotely across multiple time zones.
- Be available for regular meetings between 9:00 AM and 12:00 PM Pacific Daylight Time (PDT).
Responsibilities
- Lead strategic, operational, and analytical initiatives to identify opportunities to improve customer outcomes and reduce marketplace and transaction risks.
- Analyze marketplace and transaction risk issues, identify trends and underlying drivers, and recommend solutions to reduce losses.
- Define KPIs and standardized measurement approaches for customer trust, transaction risk, enterprise losses, decision quality, false positives, residual exposure, and return on investment.
- Evaluate existing strategies, diagnose performance gaps, and use findings to guide priorities and business decisions.
- Establish business objectives and success measures for workstreams focused on customer experience, risk and policy effectiveness, and business results.
- Partner with stakeholders across Trust, Risk, Product Management, Engineering, Policy, Shipping, and Design to apply analytical insights to business strategies and investment decisions.
- Present findings and recommendations to leadership, build cross-functional alignment, and help drive organizational decisions.
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