Data Scientist III

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the creation of statistical, machine learning, and, when prioritized, AI models that support TTA reporting, trend analysis, and generate actionable insights.

• Ensure that each AI use case is thoroughly documented and can be easily explained.

• Define anticipated outcomes, establish baselines, design experimental frameworks, and outline validation strategies prior to deployment.

• Create methodologies for assessing uncertainty and tracking model performance.

• Develop and sustain comprehensive model documentation.

• Collaborate with the Senior Data Analyst on data definitions, data quality, and the responsible interpretation of analytical results.

• Clearly communicate analytical findings and their implications to program leaders.

• Prototype and implement approved analytical and modeling strategies in partnership with engineering and security team members.

• Design and apply tests that address data leakage, bias, privacy, and performance issues.

• Advocate for reproducibility and proper validation throughout the entire analytics and modeling lifecycle.

⛳️ Requirements

• A minimum of seven (7) years of experience in applied statistics or data science, including expertise in production machine learning or advanced analytics and model validation.

• A Bachelor's degree in statistics, data science, computer science, or a related quantitative field, or equivalent demonstrated experience.

• Significant experience with statistical modeling and regression techniques.

• Experience in designing and assessing experiments.

• Familiarity with optimization methodologies.

• Proficiency in Python or R programming languages.

• Experience with cloud data warehouses.

• Experience handling distributed data environments.

• Proven experience in analytical and model validation.

• Experience in developing reproducible analytical processes.

• U.S. citizenship is required.

• Capability to obtain and maintain a Public Trust clearance and secure a Personal Identity Verification (PIV) card.

• Preferred: an advanced degree in statistics, data science, computer science, or another relevant quantitative discipline.

• Preferred: experience in evaluating human-services programs.

• Preferred: experience with responsible AI governance.

• Preferred: experience applying Natural Language Processing (NLP) techniques to narrative reports.

• Preferred: experience with operational machine learning monitoring.

🏝️ Benefits

• Occasional travel may be required.

• Equal Employment Opportunity protections.