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Senior Data Scientist- Inference, Global Markets
Remote Data Science role with clear candidate location fit.
PostedRecently added
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
China
Role overview
Senior Data Scientist- Inference, Global Markets
Requirements and responsibilities
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Details
- Work closely with cross-functional stakeholders to define product scopes, evaluate impact, and set roadmap priorities
- Architect and implement rigorous measurement plans, using A/B tests and quasi-experimental methods to assess product success and inform strategic bets
- Interpret unexpected outcomes, identify bias in experiments, and drive solutions to ensure measurement quality
- Conduct in-depth research into customer behaviors and preferences across markets to unlock opportunities for international business growth
- Develop scalable frameworks, models and systems that enable product features to be more refined and tailored to the needs of local markets
- Actively present data findings and ideas to stakeholders at different levels, and turn proposals into actions and tangible results for the business and our customers
- 5+ years of industry experience in a fast-paced tech environment with a BS/Master’s in a technical field related to mathematics, computer science, statistics, economics, machine learning, or 2+ years of relevant experience and a PhD in similar fields.
- Strong knowledge of causal inference and experimentation
- Expertise in SQL, Python or R
- Ability to solve business problems using appropriate methods and models
- Strong stakeholder communication skills and the ability to translate complex analyses into compelling narratives and business actions
- Working experience on marketplace at a global scale is a plus
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