Salary
≈ $97k – $184k per year (Estimated)
Location
Hybrid (Washington, United States)
Seniority
Middle · 4+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Apr 27, 2026. Makpar scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Makpar is a professional and technical solutions provider for the United States federal government, with a focus on information technology and management consulting. It hires developers, data engineers, data scientists, service desk specialists and enterprise security architects and has been named on the Inc 5000 list of fast growing companies several times. The company is headquartered in Herndon, United States.
Makpar has an exciting opportunity for a Data Scientist. The Data Scientist will 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 are required.
Key Responsibilities:
- Provide technical leadership on 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 models with 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 (mandatory requirement).
- Local Residency in Maryland, Virginia or Washington, DC.
- Bachelor’s in Data Science, Computer Science, Mathematics, or related field.
- 4+ years of professional experience in data science and AI/ML.
- Strong expertise in Python, Jupyter, and Anaconda.
- 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.
Clearance Requirement:
- Active Secret clearance (mandatory requirement).
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