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Job Description
📋 Description Lead complex analytical initiatives with senior stakeholders to drive outcomes. Drive business impact via data-driven insights on adoption, engagement, revenue. Lead experimentation and causal analysis, including A/B tests. Deliver end-to-end analytical solutions from discovery to deployment. Default to AI-first thinking, using AI tooling to boost quality. Mentor peers and raise standards for experimentation and modeling. 🎯 Requirements Master's degree or PhD in Statistics, CS, Economics, or related field. 5–7 years of data science with cross-functional impact. Expertise in statistical modeling, ML, causal inference, A/B design. Proficiency in SQL and Python or R for analysis. Experience with Snowflake/Databricks/Fivetran and AI tooling. Strong communication and ability to translate analyses to executives. 🎁 Benefits Flexible work culture: remote, hybrid, in-office. Generous paid time off and holidays. Wellness and mental health support. Learning resources and tuition reimbursement. Modern tools and technology to do your best work. Inclusive culture and recognition program.
