Senior Data Scientist - Government & Public Services

Senior Data Scientist role focused on leading predictive modeling efforts, improving model performance, interpreting outcomes, and mentoring a team. The role involves applying statistical and machine learning techniques to solve business problems within the Government & Public Services sector, with a preference for experience in cloud environments and LLM applications like RAG.

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

  • predictive modeling
  • statistical techniques
  • machine learning techniques
  • data exploration
  • proof-of-concept modeling
  • feature importance
  • SHAP
  • team leadership
  • data sourcing
  • data preparation

Nice to have

  • cloud environments
  • prompt engineering
  • LLM applications
  • RAG

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
  • interpret and explain model outcomes
  • advances in AI/ML