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

Managing Consultant Data Scientist Arlington, Virginia, United States, Remote Flexible Excella is a ... They provide strategic leadership in data science projects for clients and mentor team members to ...

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 ...

Data Science Tutor

Rockville, MD · 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 ...

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

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 ...

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 ...

... teams, projects, or functional portfolios and partnering with senior stakeholders on complex ... Proven ability to develop managers and senior ICs, coach technical and leadership growth, and ...

As a part of the Data Science team you'll have opportunities to work on projects that expand your ... Management) and can communicate in a crisp manner. Mastery of English is required for this role ...

As a part of the Data Science team you'll have opportunities to work on projects that expand your ... Management) and can communicate in a crisp manner. Mastery of English is required for this role ...

Provide task leadership or project leadership to small functional teams to drive outcomes and ... Academic background in Information Management, Computer Science, Data Science, Mathematics ...

As a part of the Data Science team you'll have opportunities to work on projects that expand your ... Management) and can communicate in a crisp manner. Mastery of English is required for this role ...

Overview Managing Data Scientists at Excella leverage AI, machine learning, advanced statistical ... They provide strategic leadership in data science projects for clients and mentor team members to ...

Overview Managing Data Scientists at Excella leverage AI, machine learning, advanced statistical ... They provide strategic leadership in data science projects for clients and mentor team members to ...

Showing results 41-60

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 Aug 18, 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 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.

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 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.

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 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:

What job categories do people searching Data Science Project Manager jobs in Reston, VA look for?

The top searched job categories for Data Science Project Manager jobs in Reston, VA are:

What cities near Reston, VA are hiring for Data Science Project Manager jobs?

Cities near Reston, VA with the most Data Science Project Manager job openings:

Managing Consultant Data Scientist

Excella

Arlington, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, PTO

Posted 12 days ago


Job description

hackajob is collaborating with Excella to connect them with exceptional professionals for this role.

Managing Consultant Data Scientist

Arlington, Virginia, United States, Remote Flexible

Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes.

  • Workplace locations look different for everyone. Excellians are a distributed workforce and whether you're working from your home office or a client site, we support a flexible work/life integration regardless of your location.
  • We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you.
  • Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a Care.com membership with 3 back-up emergency child or elder care days annually – all available to you on your first day.
  • Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays.
  • Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use!
  • With Excella’s Annual Internet Reimbursement benefit, all employees receive an additional $25 per month to help offset the cost of internet access. This initiative reflects our commitment to supporting you in staying connected and productive, no matter where you work.
  • We'll invest in your career by providing 3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications.
  • We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans.

Overview

Managing Data Scientists at Excella leverage AI, machine learning, advanced statistical techniques to drive meaningful insights and solutions for clients. They provide strategic leadership in data science projects for clients and mentor team members to become better AI/ML engineers. They lead in architecture and pipeline designs allowing for reproducible and traceable AI solutions.

Responsibilities

  • Lead the design and execution of data science projects, ensuring high-impact analytics solutions.
  • Partner with client stakeholders to understand business challenges and develop data-driven strategies.
  • Oversee data acquisition and integration, ensuring data quality and reliability.
  • Apply and refine machine learning and predictive modeling techniques to solve complex business problems.
  • Guide the deployment and integration of predictive models into business applications.
  • Develop and implement strategies for optimizing model performance and monitoring over time.
  • Present findings and recommendations to executives, translating complex data concepts into actionable business strategies.
  • Mentor and support junior and senior team members in data science methodologies and best practices.
  • Influence data governance and best practices within the organization.
  • Work directly with client stakeholders to define and lead analysis objectives and translate them into actionable results.

Qualifications

  • 3+ years of experience leading teams to design, develop and deploy scaled, highly performant AI/ML solutions, preferrably in sensitive contexts
  • Experience with leading Agile AI/ML teams, including AI incubators. Strong background in leading data science teams and mentoring junior data scientists.
  • Experience developing and deploying Generative AI applications in high security contexts
  • 9+ years of experience in predictive analytics in languages like Python or Scala.
  • 9+ years of experience applying data science techniques, such as clustering analysis, anomaly detection, tree-based models, ensemble methods, neural networks
  • Experience tracking model performance through product development lifecycle. Experience using AI/ML pipeline management and tracking tools (MLFlow, DataBricks)
  • Proficiency with relational databases (Oracle, SQL Server, PostgreSQL) and Big Data platforms (Hadoop/Spark). Including querying to extract data from multiple source systems.
  • Experience using natural language processing techniques, including Generative AI.
  • Preferred: Experience applying advanced analytics for fraud detection and prevention.
  • Excellent communication skills for engaging with stakeholders at all levels, including executives.
  • Self-motivated with the ability to manage tasks and estimate time requirements effectively. Continuous learning mindset with a passion for staying up to date on emerging data science technologies.
  • Familiarity with DevOps Research and Assessment (DORA) and its capabilities is encouraged.
  • Experience working in an Agile Scrum framework

This range represents the minimum and maximum base salary that Excella reasonably and in good faith expects to pay for this role. Actual compensation within the range will depend on factors such as skills, experience, training, certifications, and organizational needs. It is not typical for an individual to be hired at or near the top or bottom of the range. 
 
Your pay also includes the opportunity for an annual bonus in addition to the base salary. This variable pay opportunity is dependent upon the attainment of shared firmwide goals and objectives as determined by Excella’s Executive Team. Certain eligibility and pro-ration rules apply. 

Should your experience and knowledge qualify you for a different position or title within Excella, we may consider you for positions that better align with your qualifications. In that case, we will provide the range for those positions as well. 

Pay Range
$167,000—$225,000 USD