Data Scientist

Makpar

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Washington D.C. hybrid Until 10/4/2026 4+ years exp First posted April 28, 2026 Last posted August 5, 2026
Job description
Who we are:

Makpar is a comprehensive professional and technical solutions provider for the Federal government. We combine functional and technical expertise in cloud engineering, data management, cybersecurity and emerging technologies to deliver mission success. We build the right IT solution for government clients by partnering with them to understand their WHAT, WHY, and HOW. Using our signature consulting methodology that we call “The Makpar Way,” we help agencies navigate the ongoing changes in the Federal technology landscape. We succeed where others fail because of our connected and engaged workforce are dedicated to delivering success for our clients and the American people.

Our Mission: We solve complex problems for the Federal government to accelerate access to citizen services.

When it comes to excellence, we deliver. Learn more about our employer brand at makpar.com/careers.


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 (required).
    • 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.
    • Local residency in Maryland, Virginia, or Washington DC.

Clearance Requirement:

  • Active Secret clearance (mandatory requirement).
Benefits:

At Makpar Corporation we understand that we all need to balance work and life – that is why we have a great benefits package, excellent training and career development opportunities, flexible work schedules along with a generous compensation package. At Makpar, we believe in keeping our employees happy, healthy and engaged. We pride ourselves in providing outstanding benefits, creating environments where employees are encouraged to be themselves, collaborate, and be inquisitive in order to achieve goals.

Start your career today and be a part of something meaningful!

Makpar is an Equal Opportunity Employer.
About this role

Summary

Support enterprise data and analytics initiatives; develop models; automate processes; collaborate with teams.

Job title

Data Scientist

Experience level

4+ years

Minimum experience

4+ years exp

Industry

technology

Location requirements

Washington D.C. or nearby; remote work not specified.

Salary

Not specified

Management role

No

Skills & keywords

Required skills

PythonSQLAI/ML frameworksRPA toolsdata governance

Preferred skills

None specified

Specializations

AI/MLadvanced analyticsautomationpredictive modelsdata pipelines
Locations

Structured locations inferred from the posting.

Washington, DC, USA

Hybrid City
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