Principal Data Scientist - Business Development Analytics

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 Degree in a quantitative field (engineering, mathematics, statistics, computer science, etc.) is preferred Experience with large language models (LLMs) or retrieval-augmented generation (RAG) techniques Experience with Monte Carlo simulation, time series modeling, or probabilistic modeling Proven experience putting models into production Experience communicating insights through data-journalism and presenting to executive audiences Experience with Business Development or Strategy related data (Customer Relationship Management (CRM) tools such as Salesforce and CRM Analytics) Experience with analyzing intel from various aerospace and defense industry data sources such as DACIS, Jane's, SAM.gov