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Data Scientist Project Manager Jobs in Reston, VA

Data Scientist

Washington, DC · Hybrid

$116K - $174K/yr

You'll work on projects that matter, alongside industry-leading experts, in an environment that ... The Data Scientist will help develop and deploy AI models from ideation to production. Required For ...

Manage data science projects from conception through deployment, ensuring timely and high-quality delivery * Collaborate with cross-functional teams to identify business needs and develop data-driven ...

Lead the end-to-end lifecycle of data science projects - from data collection and exploration to model development, evaluation, and deployment. * Design and implement predictive models, NLP solutions ...

Data Scientist

Washington, DC · On-site

$125K - $155K/yr

Significantly contributes to the data science community by advocating for strategic data-driven quality projects and advanced process improvements. * Partner with cross-functional teams to ...

Significantly contributes to the data science community by advocating for strategic data-driven quality projects and advanced process improvements. * Partner with cross-functional teams to ...

Prioritize and manage multiple data science projects involving diverse, cross-functional teams. * Domestic travel is required up to 5% of the time. * Position reports to the Washington, DC office and ...

Prioritize and manage multiple data science projects involving diverse, cross-functional teams. * Domestic travel is required up to 5% of the time. * Position reports to the Washington, DC office and ...

Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment ... Experience with data management in SQL, including managing large-scale data across multiple ...

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Data Scientist Project Manager information

See Reston, VA salary details

$47.9K

$171.7K

$253.3K

How much do data scientist project manager jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data scientist project manager in Reston, VA is $171,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,900.00 and $176,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist Project Manager, and why are they important?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

What is a Data Scientist Project Manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

Can a data scientist become a project manager?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often supplemented with certifications like PMP. Transitioning typically involves gaining experience in managing projects and understanding business objectives alongside technical expertise.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists are increasingly required to work alongside AI tools, focusing on problem-solving, domain expertise, and model validation. The demand for data science skills remains strong as organizations seek to leverage AI effectively.

What is the difference between Data Scientist Project Manager vs Data Analyst Project Manager?

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

How do Data Scientist Project Managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists and analysts to ensure timely delivery of insights and solutions. They manage project scope, timelines, and resources, often utilizing tools like project management software and requiring knowledge of data science methodologies and business objectives.

Is 40 too late for data science?

For a Data Scientist Project Manager, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering data analysis tools and programming languages like Python or R, regardless of age.
What are popular job titles related to Data Scientist Project Manager jobs in Reston, VA? For Data Scientist Project Manager jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Scientist Project Manager jobs in Reston, VA look for? The top searched job categories for Data Scientist Project Manager jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Scientist Project Manager jobs? Cities near Reston, VA with the most Data Scientist Project Manager job openings:

$116K - $174K/yr

Full-time

Posted 17 days ago


Job description

Why AIS?

When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

  • Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.

  • Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

  • Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.

  • Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

Working@AIS
At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior Data Scientist. As your initial project assignment, you will support the unique needs of our client as a Data Scientist. Project Summary

AIS is seeking a Data Scientist for an AI Engineering contract supporting a federal customer in a hybrid role in the DC/Maryland/Virginia (DMV) area.

Key Responsibilities
  • The Data Scientist will help develop and deploy AI models from ideation to production.

Required For This Opportunity
  • Bachelor's Degree in Computer Science

  • At least 5+ years of experience in Data Science.

  • Must have hands-on experience with Python, Python DS Tech Stack (tensorflow, scikit-learn, pandas, etc.)

  • Must have experience with database systems.

  • Must have a Secret clearance

  • Must have experience deploying Machine Learning (ML) models.

Nice to Have Skills
  • A certification in Data Science, AI, or another related certification is preferred, but not required.

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member. The targeted base salary range for this role is $116,000-$174,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.