Senior Data Scientist

We are seeking a highly skilled Senior Data Scientist to partner closely with client stakeholders in delivering data-driven economic analyses of national importance. In this role, you will apply advanced statistical methods, machine learning, generative AI, and big data technologies to design and execute analytical solutions that address complex business and research challenges.

You will play a key role in translating ambiguous questions into structured, testable approaches and delivering clear, defensible insights through rigorous analysis and effective communication.

Key Responsibilities:

• Partner with stakeholders to define problem statements, assumptions, and analytical approaches
• Design and implement scalable data ingestion, storage, integration, and processing strategies
• Build transparent, reproducible data pipelines and analysis environments in cloud platforms
• Conduct advanced statistical, econometric, and machine learning analyses on complex datasets
• Design and execute rigorous studies (e.g., difference-in-differences, panel models, instrumental variables/2SLS, time series forecasting)
• Translate business or legal questions into testable hypotheses and client-ready insights
• Develop clear, concise reports, memos, and exhibits explaining methodologies, assumptions, and limitations
• Create compelling data visualizations for both technical and non-technical audiences
• Support defensible analytics and causal inference workstreams
• Mentor team members and promote best practices in data science and research methodologies
• Stay current with advancements in data science, AI, and information systems

Basic Qualifications:

• Master’s degree (PhD preferred) in Statistics, Mathematics, or a related quantitative field
• 5–8+ years of hands-on data science experience
• Strong proficiency in Python or R, along with SQL and statistical tools such as Stata or SAS
• Expertise in machine learning (model selection, evaluation, feature engineering)
• Experience applying AI/ML techniques to extract insights from structured and unstructured data
• Proficiency in data visualization tools such as Tableau or Matplotlib
• Experience working with large-scale datasets and cloud platforms (e.g., Azure, Databricks, or similar)
• Familiarity with large language models (e.g., ChatGPT, Claude) and their tradeoffs
• Strong analytical thinking, problem-solving, and communication skills
• Ability to produce clear, rigorous, and defensible analytical outputs
• Familiarity with security frameworks such as FISMA, NIST, or Zero Trust
• Current Principal Data Scientist (PDS) Certification

Preferred Qualifications:

• Experience with Spark and Databricks
• Domain expertise in areas such as antitrust, pricing, healthcare, fraud/forensics, or financial analysis
• Experience producing reproducible, peer-reviewed analyses that meet legal and regulatory standards (e.g., Daubert)
• Contributions to open-source projects or participation in data science communities