Principal Data Scientist

Role Overview

• Provide leadership and strategic direction in solving business problems using advanced mathematical and statistical methods.
• Build advanced time-series models to forecast trends in medical spend using hierarchical Bayesian models and temporal fusion transformers.
• Ensure scientific rigor and reproducibility of model evaluation.
• Optimize models for accuracy and interpretability.
• Communicate findings to stakeholders from technical ICs to top leadership.

Requirements

• Bachelor’s degree and 7 years of work experience in a related quantitative field; OR Actuarial credential or Master’s degree and 6 years of work experience; OR Ph.D. and 4 years of work experience; OR 11 years of work experience in a related quantitative field.
• Leadership and/or management experience.
• Expertise with time series modeling and forecasting methodologies.
• Strong learning and growth mindset.
• Customer focus.
• Strong interpersonal, verbal and written communication skills.
• Proficiency in at least five of the following six areas:

1. data analysis and relational-style query languages;
2. machine learning and/or statistical modeling;
3. data visualization;
4. a high-level programming language;
5. distributed computing;
6. understanding of healthcare.

• A track record of independently delivering or leading the delivery of multiple complex analytics or data science projects.
• A track record of mentoring, managing, or leading junior analytics or data science staff and providing thought leadership.

Benefits

• Health and wellness benefits
• 401(k) savings plan
• Pension plan
• Paid time off
• Paid parental leave
• Disability insurance
• Supplemental life insurance
• Employee assistance program
• Paid holidays
• Tuition reimbursement
• Other incentives