Staff Applied Scientist

📋 Description

• Research machine learning and statistical approaches that improve the predictive performance of
• Design, implement, and evaluate model enhancements using rigorous experimentation and validation
• Analyze model performance and downstream effects to confirm that proposed changes improve
• Partner with various Engineering teams to support technical reviews, implementation, and deployment.
• Translate research findings into clear recommendations, documented methodologies, and

🎯 Requirements

• Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations
• 2+ years of experience conducting machine learning, statistical modeling, or applied quantitative
• Experience developing and evaluating machine learning or statistical models using Python.
• Demonstrated knowledge of probability, statistics, and machine learning methods.
• Experience designing experiments or validation analyses to assess model accuracy, reliability, or

🎁 Benefits

• Competitive compensation, including base pay, bonus opportunities, and annual equity grants that
• Retirement benefits: 401(k) or Group Retirement Savings Plan with company match of $2 for every $1
• Employee Stock Purchase Plan (ESPP) with discounted stock purchase options (US only).
• Comprehensive health coverage: medical, dental, vision, and wellness resources.
• Health Savings Account contributions for eligible plans (US only).
• Income protection benefits: life insurance and disability coverage.