Senior Data Scientist

Posted 5 Days Ago
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Washington, DC, USA
Hybrid
Senior level
Big Data • Analytics
The Role
The Senior Data Scientist will lead AI/ML development, create predictive analytics models, and support data governance, collaborating closely with data engineers.
Summary Generated by Built In
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 Senior Data Scientist.  The Senior Data Scientist will support enterprise data and analytics initiatives. This role requires expertise in AI/ML development, Python, and advanced analytics to guide teams and deliver enterprise-level analytics solutions. requirements.

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, sharing).
  • Develop RPA solutions to automate business processes.
  • Evaluate analytics products to ensure alignment with mission objectives.
  • Communicate findings through dashboards, visualizations, and technical reports.

Qualifications

  • Active Secret clearance (mandatory requirement).
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or related field.
  • 7+ 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).

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.

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The Company
HQ: Herndon, VA
48 Employees
Year Founded: 2008

What We Do

Makpar provides high level strategic and project management services based on over 10 years of experience in customer focused, cutting edge technology in product development, big data and analytics. With a principal office in Loudon County, Virginia, we have access to the best and the brightest people in the industry who have a passion for helping our clients. Our highly experienced consultants will work on your most pressing challenges day in and day out and will deliver results that will delight you. We value integrity, honesty, and open communications in all our dealings. We continually strive to improve ourselves through soliciting feedback and evaluating our results against the best in the industry.

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