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Data Scientist (AI / ML Focus)

Tanaq Technical Services

Salary not specified
Dec 2, 2025
Anchorage, AK, US
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Tanaq Technical Services (TTS) is seeking a Data Scientist (AI/ML focus) to support the Department of Housing and Urban Development’s Office of the Chief Information Officer (HUD OCIO) by analyzing, modeling, and simulating data for AI/ML proofs of concept and pilots, and developing predictive models, simulations, and decision-theory frameworks to enhance system functionality, operational efficiency, and mission alignment.

Requirements

  • 5+ years of experience in data science, statistical modeling, or AI/ML projects.
  • Experience developing predictive models, simulations, and decision-support tools.
  • Strong Data processing, cleaning, transformation, and engineering capabilities.
  • Federal-scale datasets, such as SQL, NoSQL, Spark, Kafka, or cloud-native pipelines.
  • Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch)
  • Statistical modeling, simulation, and decision theory
  • Version control: Git/GitHub/GitLab

Responsibilities

  • 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 ensure models are operationalized effectively.
  • 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.

Other

  • Candidates must reside in the United States.
  • Ability to pass required Federal background screening and obtain and maintain both government clearance and customer approval.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Candidates must reside in or within daily commuting distance of Washington, D.C.
  • Must be willing and able to travel an estimated 25% of time within the U.S.