Principal Data Scientist (Richardson)

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

The Principal Data Scientist is responsible for providing advanced mathematical and statistical methods to solve business problems, providing leadership and strategic direction. This position is focused on building advanced time-series models that forecast trends in medical spend, using techniques like hierarchical Bayesian models and temporal fusion transformers. Responsibilities also include ensuring the scientific rigor and reproducibility of model evaluation, optimizing models for accuracy and interpretability, and communicating core findings to stakeholders from technical ICs to managers to top leadership.

Required Job Qualifications

• Bachelor’s degree and 7 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Actuarial credential or Master’s degree and 6 years of work experience in a in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. and 4 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 11 years of work experience in an advanced mathematical, statistical, computer science, engineering, physics, economics or related quantitative field. Leadership and/or management experience.
• Expertise with time series modeling and forecasting methodologies
• Strong interpersonal, verbal and written communication skills.
• Proficiency in Python, PyTorch, and SQL
• Proficiency in at least five of the following six areas, and demonstrated mastery in at least three: 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.
• ARIMA type models
• Bayesian Time Series Forecasting
• Markov Chain Monte Carlo (MCMC)
• Gradient Boosting (XGBoost, LightGBM, CatBoost)

Preferred Job Qualifications

• Master's or Ph.D. in a quantitative field, or bachelor's degree with significant healthcare experience.
• Experience building deep learning forecasting models including:
• LSTM (Long Short-Term Memory)
• Transformer-based forecasting models
• Experience with GPU training and model optimization.
• Financial Modeling Expertise
  • Revenue forecasting
  • Cash flow forecasting
  • Budget forecasting
  • Financial planning and analysis (FP&A)
  • Market forecasting
  • Risk modeling
  • Scenario analysis
  • Monte Carlo simulation
  • Stress testing
  • Forecast uncertainty estimation

Compensation

• Compensation: $121,200.00 - $225,200.00
• Exact compensation may vary based on skills, experience, and location

HCSC Employment Statement

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

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