Data Scientist

📋 Description Guide product recommendations and model development; share insights with Data. Develop and maintain predictive ML models for risks and opportunities. Lead end-to-end ML pipeline from data collection to deployment. Collaborate with data and infrastructure engineers to automate training. Write inferential models to inform product and underwriting decisions. Present model impacts and mentor peers on modeling best practices. 🎯 Requirements Master’s in Data Science, Statistics, or Analytics; plus 4 yrs exp. 2+ yrs designing ML models (regression, classification, forecasting). 2+ yrs SQL, Python, and R for data analysis and modeling. 2+ yrs product analytics, A/B testing, and causal inference. 2+ yrs building data pipelines and production-ready models. 🎁 Benefits Health, dental, and vision benefits plus savings plans. Mac computers and home office stipend. Monthly internet and phone reimbursement. Employee Stock Purchase Plan and RSUs. 401(k) with company match. Tuition reimbursement and travel perk.