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Data Science Project Manager Jobs in Reston, VA (NOW HIRING)

Core Interface

Data Scientist

Chantilly, VA · On-site

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 ...

BlueLabs, Inc.

Data Scientist

Washington, DC · On-site +1

... managers and external stakeholders to troubleshoot problems and proactively create solutions * Assist on research development projects and data science project plans for clients and internal ...

Noblis

Cleared - Data Scientist - Senior

Bethesda, MD · On-site

Understand and apply data integration and data management fundamentals, successfully adopting them for data science projects from development into production * Understand customer needs and visualize ...

VT Group (VTG)

Project Manager

Fairfax, VA · On-site

The Project Manager will coordinate day-to-day project execution for data science initiatives ... Responsibilities : • Monitor data scientist tasks, assignments, and progress using JIRA. • ...

Applied Information Sciences

Data Scientist

Washington, DC · Hybrid

$116K - $174K/yr

You'll work on projects that matter, alongside industry-leading experts, in an environment that ... Bachelor's Degree in Computer Science * At least 5+ years of experience in Data Science. * Must ...

PotomacWave Consulting

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 ...

PotomacWave

Data Scientist

Washington, DC · On-site

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 ...

Capital One

Manager, Data Science

Mclean, VA · On-site

Center 1 (19052), United States of America, McLean, Virginia Manager, Data Science Manager, Data Science positions offered by Capital One Services, LLC (McLean, VA). Exercising discretion at a more ...

Capital One

Manager, Data Science

Mclean, VA · On-site +1

Center 1 (19052), United States of America, McLean, Virginia Manager, Data Science Manager, Data Science positions offered by Capital One Services, LLC (McLean, VA). Exercising discretion at a more ...

Varsity Tutors

Data Science Tutor

Washington, DC · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Varsity Tutors

Data Science Tutor

Alexandria, VA · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Varsity Tutors

Data Science Tutor

Fairfax, VA · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Varsity Tutors

Data Science Tutor

Leesburg, VA · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

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All JobsData Science Project Manager JobsData Science Project Manager Jobs in Reston, VA

Data Science Project Manager information

See Reston, VA salary details

$17

$59

$83

How much do data science project manager jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for data science project manager in Reston, VA is $59.83, according to ZipRecruiter salary data. Most workers in this role earn between $51.78 and $70.00 per hour, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Project Managers are in high demand due to the rapid growth of data-driven decision-making across industries. They oversee data projects, coordinate teams, and require skills in analytics tools, project management, and communication. The role is considered one of the most sought-after careers in the 21st century for its impact and earning potential.

What is a Data Science Project Manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

Is 40 too late for data science?

For a Data Science 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 tools like Python or R and understanding business needs, regardless of age.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of technical expertise, certifications, and leadership responsibilities.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

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

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

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

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

Can a data scientist become a project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Gaining experience in managing teams, understanding project workflows, and obtaining certifications like PMP can facilitate this transition.
What are popular job titles related to Data Science Project Manager jobs in Reston, VA? For Data Science Project Manager jobs in Reston, VA, the most frequently searched job titles are:
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Data Science Project Manager jobs near you

Data Scientist

Core Interface

Chantilly, VA • On-site

Full-time

Posted yesterday

Job description

Overview
The Senior Data Scientist leads the design, development, and implementation of data-driven solutions that support strategic decision-making and mission objectives. This role works closely with stakeholders, engineers, and analysts to translate complex data into actionable insights, leveraging advanced statistical, machine learning, and cloud-based analytical techniques.
Key Responsibilities
  • 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, and advanced analytics to solve business and operational problems.
  • Work with large, complex datasets from multiple sources, ensuring data quality, consistency, and security.
  • Collaborate with engineering teams to integrate data science solutions into production systems (cloud or on-prem).
  • Mentor junior data scientists and analysts, providing technical guidance and peer reviews.
  • Present findings and visualizations to technical and non-technical audiences.
  • Stay current with emerging technologies, frameworks, and research in AI/ML and data science.

Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred).
  • 5+ years of hands-on experience applying machine learning and statistical modeling to real-world problems.
  • Proficiency in Python, R, or Scala and strong knowledge of data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
  • Experience with cloud platforms (AWS, Azure, or GCP) and data tools (Spark, Databricks, Airflow).
  • Strong knowledge of SQL and experience with relational and NoSQL databases.
  • Ability to communicate technical concepts clearly and effectively to diverse audiences.
  • Active security clearance or eligibility to obtain one (for government contracts) preferred.

Core Interface Culture
At Core Interface, we combine technical excellence with a culture that values balance, innovation, and collaboration. Our teams work on mission-critical federal programs in data analytics, cybersecurity, and application development - where your work truly matters.

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