Develop statistical and machine learning models with a modeling & simulation lens to help quantify and reduce future uncertainty across various scenarios
Build well-structured and understandable code to enable smooth collaboration across the team and successful model deployment
Serve as a trusted technical expert who can offer informed guidance on methodology or technology decisions and communicate core requirements to our technology teams
Stay abreast of industry trends and methodologies and contribute innovative ideas to drive business value
Utilizing exceptional interpersonal and communication skills to present complex models or analyses to business partners

Must have a Bachelor’s degree with a minimum of 5 years of relevant professional experience OR a Master’s degree with a minimum of 3 years of relevant professional experience OR a PhD with a minimum of 1 year of relevant professional experience.
Must have a deep foundational knowledge of statistical modeling and machine learning concepts
Must have at least 3 years of experience with Python
Must have proficiency with data transformation using SQL or similar data querying language
Must have experience with visualization tools or libraries, such as Streamlit, Plotly, or Tableau
Must have experience using version software control (e.g. git) with a team of collaborators
Must have experience using cloud-based data science tools including AWS, Azure, DataBricks, Spark/PySpark
Must have fluency in translating business problems into questions that can be answered via analytic methods
Must have experience collaborating on projects with multiple teams and communicating findings to both technical and non-technical audiences.

Principal Data Scientist – Business Development Analytics

Key skills