Senior Data Scientist

Blu Omega is seeking a Senior Data Scientist to support a federal civil mission. This role is responsible for advanced statistical modeling, AI/ML development, and data integration within a legally and operationally sensitive environment.

Support a federal civil mission through data analytics and AI to enable data-driven insights for investigations, litigation, and claims management.

Location:

Washington, DC / Hybrid

Clearance / Suitability:
Public Trust eligibility required.

• Collate and integrate large-scale client data to produce statistical analyses supporting investigative, litigation, and claims management needs.
• Design and implement AI/ML solutions (supervised and unsupervised) to support anomaly detection, predictive analytics, and investigative insight across healthcare, financial, and mass tort data.
• Design and validate algorithms and machine learning outputs using statistical modeling to confirm accuracy, precision, and sensitivity.
• Apply mathematical and statistical modeling techniques to organize, optimize, mine, and predict new data from multiple sources.
• Work within AWS Gov Cloud using data lakes, serverless computing (e.g., Lambda), and ETL practices to manage large or unstructured data where infrastructure is limited.
• Train client personnel on dashboards, analytical tools, and AI-assisted workflows; promote responsible AI use through training and reference materials.
• Identify opportunities for automation and develop automated, reproducible, and auditable solutions for data collection, processing, and analysis.
• Support data readiness assessments for AI use cases; document models, assumptions, training data, and limitations in line with policy.
• Serve as a reviewer for statistical estimates and machine learning evaluations performed by others, independently examining assumptions, logic, and interpretation.
• Design dashboard content to meet Section 508 and WCAG 2.0 Level A/AA accessibility standards.

• Bachelor’s degree required (a combination of experience and education exceeding this requirement is acceptable).
• Hybrid role requiring onsite presence in Washington, DC (estimated two days per week).
• 5+ years of professional data science, statistics, or mathematics experience using Python, R, or another analytical/statistical language.
• 4+ years of experience in custom AI model training (supervised and unsupervised), with NLP expertise focused on unstructured data.
• 2+ years of experience manipulating unstructured data from different platforms.
• Demonstrated experience with SQL, including database administration and/or SQL programming.
• 2+ years of experience with data visualization tools such as Tableau, Power BI, Qlik, or Elastic X-Pack.
• Strong communication skills, including presenting quantitative concepts in accessible formats and actively listening to identify business and mission problems.
• Experience independently reviewing statistical or machine learning analyses performed by others, including evaluation of assumptions, methodology, and interpretation.

• Experience with AWS big data and analytics services (e.g., Sage Maker, Athena, Aurora, Snowflake) and cloud-based data pipelines.
• Familiarity with Section 508/WCAG accessibility standards for dashboards and data visualizations.
• Experience with dbt, Airflow, or Dagster for data transformation and pipeline orchestration.
• Experience applying AI/ML methods in a legally sensitive or litigation-support environment.

Salary Range: $ - $

Final compensation is based on technical skills, experience, education, certifications, and clearance.

• Medical, Dental, and Vision coverage through national providers
• 401(k) with company match (eligible after 6 months; vesting applies)
• Company-paid Life and AD&D insurance with additional voluntary options
• Short-term disability (company-paid) and long-term disability options
• Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
• Telehealth and virtual care options available through medical plans
• Pet insurance, legal services, and identity theft protection options
• Paid Time Off (PTO) for eligible employees
• Paid federal holidays for salaried employees
• Access to wellness programs, discounts, and lifestyle benefits
• Benefits eligibility and offerings may vary based on role, employment status, and program requirements.

Blu Omega is a Woman-Owned Small…