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.