ZipRecruiter

Log In

1

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

Inroads

Manager I, Data Science

Washington, DC · On-site +1

$85K/yr

As Manager I, Data Science, you will work with a team of analysts, data scientists, and engineers to drive high-impact results for millions of Americans. The team's mission is to help ensure that ...

EXL

Technical Project Manager - Data Science

Washington, DC

$58.50 - $79.25/hr

Data Science-Machine Learning Engineer As a Project Manager, you will lead a strategic healthcare initiative with a strong focus on STARS performance and outcomes. You will drive a cross-functional ...

VTG

Data Scientist

Chantilly, VA

May conduct data engineering and data management. May lead with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity ...

VTG

Data Scientist

Chantilly, VA · On-site

May conduct data engineering and data management. May lead with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity ...

next page

Showing results 1-20

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

Data Science Manager information

See Reston, VA salary details

$32.3K

$101.3K

$179.3K

How much do data science manager jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data science manager in Reston, VA is $101,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,800.00 and $130,800.00 per year, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Reston, VA? The most popular types of Data Science jobs in Reston, VA are:
What are popular job titles related to Data Science Manager jobs in Reston, VA? For Data Science Manager jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Reston, VA look for? The top searched job categories for Data Science Manager jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Science Manager jobs? Cities near Reston, VA with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Reston, VA as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $101,251 per year, or $48.7 per hour.
AAR Data Science Fellow

AAR Data Science Fellow

ASSOCIATION OF AMERICAN RAILROADS

Washington, DC • On-site

$25 - $28/hr

Part-time

Posted 12 days ago

Job description

Description
Data Science Fellowship
The Policy & Economics (P&E) Division of the Association of American Railroads is pleased to invite applications for the Data Science Ph.D. Fellowship for the year 2025-2026. This fellowship offers a unique opportunity for Ph.D. students or experienced professionals interested in data management, analysis, and visualization projects related to the railroad industry and its regulatory requirements.
About the Fellowship:
The Data Science Fellowship aims to provide data science professionals with hands-on experience and collaborative opportunities to enhance their skills. Successful candidates will work part-time for one year, engaging in activities at the intersection of data science methods and scholarly domains utilizing data science for knowledge discovery and creation. Fellows will contribute to P&E's data modernization effort and will have the opportunity to contribute to AAR's recurring reports and publications, gaining valuable expertise in the railroad industry. The selected candidate will partner with economists and analysts to understand business process flow and the associated data flow, inputs, and outputs to derive a connected design.
Key Details:
  • Part-time appointment (24 hours/week, onsite) for one year with the possibility of appointment extension for another year.
  • Annual stipend commensurate with experience
  • Mentorship and career support provided
  • Opportunity to contribute to data modernization efforts, develop impactful visualizations and dashboards, and gain specialized knowledge of the railroad industry by supporting AAR's recurring reports, ensuring timely delivery and high standards of quality and clarity.

Requirements
Qualifications
Broad expertise in data science or related discipline
Proficiency in SQL (writing and optimizing queries), Python (cleaning and analyzing large structured and unstructured datasets), and statistical modeling
Experience with ETL tools, database technologies, data modeling, data security, data governance
Strong communication skills to collaborate across teams and the ability to break down complex problems into actionable steps
Eligibility to work in the U.S. (AAR does not provide visa sponsorship)

Apply