Data Scientist; AI​/ML Focus

Overview

Tanaq Technical Services (TTS), a division of St. George Tanaq (SGT) Corporation, is an 8(a) Alaskan Native Small Business that delivers Enterprise Integrated Technology Solutions and Support Services to the Federal Government. TTS combines proactive strategies, efficient processes, and emerging technologies to provide seamless, integrated services for its clients.
Fully Remote

Hiring a Data Scientist (AI/ML focus) to support the Department of Housing and Urban Development’s Office of the Chief Information Officer (HUD OCIO). The Data Scientist will analyze, model, and simulate data to support HUD AI/ML proofs of concept and pilots and develop predictive models, simulations, and decision-theory frameworks to enhance system functionality, operational efficiency, and mission alignment. Candidates must reside in the United States.

• Develop statistical models, machine learning algorithms, and simulations using Python.
• Analyze HUD datasets, implement data preprocessing, and assess data quality for AI workflows.
• Collaborate with HCD/UX and front-end teams to operationalize models.
• Evaluate model performance, validate results, and iterate for improvement.
• Support AI governance by documenting models, decisions, assumptions, and ethical safeguards.
• Maintain version‑controlled code and reproducible workflows for HUD audit and compliance.

• 5+ years of experience in data science, statistical modeling, or AI/ML projects.
• Experience developing predictive models, simulations, and decision‑support tools.
• Familiarity with federal datasets and AI governance requirements preferred.
• Strong data processing, cleaning, transformation, and engineering capabilities.
• Experience with federal‑scale datasets (SQL, No
  
  SQL, Spark, Kafka, or cloud‑native pipelines).
• Previous experience supporting HUD OCIO preferred.
• Ability to pass required federal background screening and obtain/maintain both government clearance and customer approval.
• Must be legally authorized to work in the United States without employer sponsorship now or in the future.

• Python (pandas, Num Py, scikit‑learn, Tensor Flow/PyTorch)
• Statistical modeling, simulation, and decision theory
• Data visualization (Matplotlib, Seaborn, Plotly)
• Version control (Git/Git Hub/Git Lab)
• Experience with AI/ML lifecycle and reproducible workflows

• Analytical and problem‑solving mindset
• Collaboration with UX, Dev Ops, and front‑end teams
• Documentation and knowledge transfer for governance compliance
• Iterative testing and validation of AI‑enabled solutions
• Ethical and privacy‑conscious model design

• Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, or related field (required)
• Master’s degree in Data Science, AI, or related field (preferred)
• Python, machine learning, or data science certifications preferred

Prolonged periods of sitting at a desk and working on a computer; may need to lift up to 25 pounds occasionally.

Full‑time U.S. employees gain access to healthcare benefits (Medical, Dental, Vision), Basic Life Insurance, Short‑Term Disability, Long‑Term Disability, 401(k), Flexible Spending Account, EAP, Education Reimbursement, Paid Time Off, and Holidays.

Tanaq Technical Services is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, or local law. Tanaq complies with the Drug‑free Workplace Act of 1988 and E‑Verify.

AI tools to generate or assist with responses during phone, in‑person, and virtual interviews are not allowed. Candidates requiring reasonable accommodations involving AI should contact  prior to interview.

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