We are looking for a data-driven problem solver with strong statistical expertise to join our growing data science team. In this role, you'll play a pivotal part in driving product innovation through rigorous experimentation, measurement, and insight generation. You'll collaborate with engineers, designers, and product managers to guide strategic decisions that impact millions of users.
Design and evaluate controlled experiments (A/B tests) and quasi-experiments to inform product and business decisions.
Build and maintain automated pipelines for experiment tracking, analysis, and reporting.
Identify metrics, set success criteria, and quantify trade-offs in product features and changes.
Partner with cross-functional teams to embed a culture of data-informed decision-making.
Present findings to stakeholders with clarity, making statistical results actionable for the business.
Bachelor's in Statistics, Data Science, Computer Science, or related field.
2+ years of experience in product analytics, experimentation, or applied statistics.
Solid knowledge of statistical inference, hypothesis testing, power analysis, and regression models.
Proficient in SQL and Python (or R), with experience analyzing large-scale data.
Strong data visualization skills; able to tell compelling stories with data.
Experience working closely with product or engineering teams in fast-paced environments.
Experience with experimentation platforms or custom A/B testing frameworks.
Familiarity with online metrics, feature rollouts, or cohort-based analyses.
Exposure to techniques such as CUPED, variance reduction, or sequential testing.
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