We are seeking a Data Scientist to support the development and evolution of analytics and optimization capabilities within a complex data platform that enables decision-making across planning, resource allocation, and operational workflows. 

This role will primarily focus on building and scaling analytics, optimization models, and data-driven solutions using structured and unstructured data. The role will also contribute to the development and maintenance of a robust data layer, including data pipelines, governance standards, and curated datasets that support enterprise use cases. As a secondary focus, this role will support the development of AI or LLM-enabled capabilities, including retrieval augmented generation (RAG) workflows, hybrid search, and metadata-driven data access patterns. 

The ideal candidate is a strong data scientist with experience in analytics, optimization, and data engineering fundamentals, capable of working across the full data lifecycle from ingestion and transformation to modeling and visualization. 

What You’ll Work On:

• Design, develop, and maintain analytics and optimization solutions to support operational decision-making.

• Build and manage data pipelines and transformation workflows using SQL and Python.

• Develop dashboards and reporting solutions using tools such as Tableau, to communicate insights.

• Apply statistical analysis, machine learning, and optimization techniques to solve real-world problems.

• Design and maintain relational data models such as PostgreSQL, to support analytics and application needs.

• Implement scalable data processing workflows leveraging cloud services such as AWS.

• Establish and maintain data governance, data quality, and data curation standards across the data layer.

• Collaborate with engineering, products, and stakeholders to translate requirements into analytical solutions.

• Integrate multiple data sources into a unified and reliable data platform.

Join us. The world can’t wait.

You Have:   

• 5+ years of experience in data science, analytics, machine learning, or optimization 

• Experience with SQL for data querying and transformation, Python for data analysis, modeling, and scripting, and data visualization tools such as Tableau

• Experience applying statistical analysis, machine learning, or optimization techniques to real-world problems 

• Experience building and maintaining data pipelines or data workflows, and designing relational data models such as PostgreSQL

• Knowledge of data modeling, ETL processes, and data governance principles 

• Ability to communicate analytical insights through dashboards, reports, and presentations 

• Ability to operate independently and own analytical workstreams 

• Ability to obtain a Secret clearance 

• Bachelor's degree in Data Science, CS, Mathematics, or Statistics and 5+ years of experience working in a professional environment, or 11+ years of experience working in a professional environment in lieu of degree ​

​

Nice If You Have:

• Experience with optimization or operations research methods, including linear programming, simulation, and resource allocation, and deploying or supporting machine learning models in production environments 

• Experience implementing data governance or data quality frameworks, including validation, metadata management, and lineage, and integrating analytics or machine learning solutions into cloud-based architectures

• Experience with large-scale data processing or distributed systems 

• Knowledge of LLM concepts, including embeddings, prompt engineering, or vector databases

• Knowledge of RAG-based systems, including hybrid search, metadata filtering, or graph-based retrieval 

• Secret clearance 

• Master’s degree in Data Science, CS, Mathematics, or Statistics 

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.