Senior Data Scientist - Government & Public Services

Senior Data Scientist role focused on leading predictive modeling efforts for government and public sector clients, improving model performance, interpreting outcomes, and mentoring a team. The role involves applying statistical and machine learning techniques to solve business problems and deliver client advisory services.

What you'd actually do

  1. Lead end-to-end predictive modeling efforts: understand the business use case, conduct preliminary analyses, and propose solutions using statistical and machine learning techniques.
  2. Validate feasibility quickly through data exploration, proof-of-concept modeling, and clear readouts on what will (and won’t) work.
  3. Improve model performance and robustness by addressing issues like imbalance, overfitting, and leakage; apply strong analytical reasoning to select appropriate methods.
  4. Interpret and explain model outcomes using feature importance, SHAP, and related techniques; share findings for technical review and iteration.
  5. Supervise and develop a team of data scientists: guide data sourcing and preparation across disparate systems; set modeling best practices; raise quality and speed.

Skills

Required

  • Bachelor’s Degree or higher in Engineering, Computer Science, Statistics, Mathematics, or related quantitative field
  • 5+ years predictive modeling
  • 2+ years leading a team of data scientists

Nice to have

  • Experience building and deploying models in cloud environments
  • Hands-on experience with prompt engineering and LLM applications such as RAG
  • Master’s degree or higher in Engineering, Computer Science, Statistics, Mathematics, or related quantitative field (PhD preferred)

What the JD emphasized

  • 5+ years predictive modeling
  • 2+ years leading a team of data scientists

Other signals

  • predictive modeling
  • machine learning techniques
  • model performance
  • model outcomes
  • AI/ML advances