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Data Scientist

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Onsite

Data Scientist

Big Impact Tech (BIT)

Data Scientist

Skills

SQL QueriesPythonData SciencePyTorchTensorFlowDatabricksData AnalysisMachine LearningAI

21 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

3 October 2026

What they need


Data Scientist

Location: Washington, DC (Hybrid 2-3 days onsite weekly)

Clearance: Active Secret

Employment Type: Full-time

Company Description

BIT is seeking an experienced Data Scientist to support enterprise data and analytics initiatives for a federal client, leveraging expertise in AI/ML development, advanced analytics, and automation to deliver mission-focused, scalable, and secure solutions. The role involves providing technical leadership , developing predictive and prescriptive models , and collaborating with cross-functional teams to align analytics capabilities with enterprise objectives. Strong proficiency in Python, SQL, modern AI/ML frameworks, and RPA tools is required.

Responsibilities

  • Provide technical leadership in analytics and AI/ML solutions
  • Develop and deploy machine learning models and predictive analytics
  • Use Python, Anaconda, and Jupyter notebooks for modeling and prototyping
  • Collaborate with Data Engineers to integrate model switch data pipelines
  • Support data governance activities (tagging, metadata management and secure sharing)
  • Develop RPA solutions to automate business processes
  • Evaluate and recommend analytics products to ensure mission alignment
  • Communicate findings through dashboards, visualizations, and technical reports

Qualifications

  • Active Secret Clearance (required).
  • Bachelors in data science, Computer Science, Mathematics, or related field\
  • 4+ years of professional experience in Data Science and AI/ML
  • Proficiency in AI/ML frameworks ( TensorFlow, PyTorch,Scikit-learn )
  • Experience with RPA tools ( UiPath, Automation Anywhere, or Python-based )
  • Familiarity with Databricks, Apache Spark, and SQL
  • Excellent communication and stakeholder engagement skills

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