Who you are

• 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

What the job involves

• 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