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Manager Of Data Science Jobs in Virginia (NOW HIRING)

Senior Data Scientist

Chantilly, VA ยท On-site

$130K - $160K/yr

... management * Developing customer-facing reporting tools to provide timely and accurate decision-support and information * Understanding of how data science enables cost estimating, IPM and cross ...

Build deep understanding of CarMax data ecosystems, including data access, processing, and ... scientists * Promote best practices in analytics, modeling, and experimentation * Manage and ...

Senior Manager, Data Science

Richmond, VA ยท On-site

$138K - $221K/yr

Build deep understanding of CarMax data ecosystems, including data access, processing, and ... scientists * Promote best practices in analytics, modeling, and experimentation * Manage and ...

Required Skills * 3+ years of experience in data science or analytics * Experience with the analysis of data and creation of data-driven visualizations * Experience in working with artificial ...

Data Scientist

Arlington, VA ยท On-site

$69K - $125K/yr

Work closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a ...

Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models * Leverage a broad stack of technologies ...

Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models * Leverage a broad stack of technologies ...

Showing results 41-60

Manager Of Data Science information

See Virginia salary details

$30.7K

$96.3K

$170.5K

How much do manager of data science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for manager of data science in Virginia is $96,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

What is the difference between Manager Of Data Science vs Data Scientist?

AspectManager Of Data ScienceData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, or related field; strong technical skills
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersFocuses on data analysis, model development, and technical problem-solving
Employer & Industry UsageUsed in organizations with data teams, analytics departmentsCommonly employed in tech, finance, healthcare, and research sectors

The main difference between a Manager Of Data Science and a Data Scientist is the level of responsibility. Managers oversee teams and strategic initiatives, while Data Scientists focus on technical data analysis and model building. Both roles require strong analytical skills, but the Manager role emphasizes leadership and project management.

How does a manager of data science typically balance hands-on technical work with team leadership responsibilities?

A Manager of Data Science often divides their time between overseeing project execution and supporting their team's professional growth. While they may still participate in high-level technical decision-making and occasionally contribute to code or modeling, much of their focus shifts to setting strategic direction, mentoring team members, and facilitating cross-functional collaboration. They are responsible for ensuring that projects align with business goals, providing technical guidance, and creating an environment where data scientists can thrive. Effective managers also spend time communicating with stakeholders to translate business needs into actionable data projects.

What are the key skills and qualifications needed to thrive as a manager of data science, and why are they important?

To thrive as a Manager of Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a degree in a quantitative field and prior experience in data science roles. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and project management systems is essential, and certifications such as Certified Analytics Professional (CAP) can be valuable. Strong leadership, communication, and problem-solving skills help in guiding teams, translating business needs into data solutions, and fostering collaboration. These skills and qualities are crucial for delivering actionable insights, driving innovation, and ensuring successful data-driven strategies in complex organizational environments.

What is a manager of data science?

A Manager of Data Science is a leadership role responsible for overseeing a team of data scientists and analysts, guiding data-driven projects, and ensuring that business objectives are met through data analysis and modeling. They collaborate with stakeholders to identify business needs, design analytical solutions, and manage the end-to-end process of extracting insights from large datasets. In addition to technical expertise, this role requires strong leadership, project management, and communication skills to translate complex findings into actionable strategies.
What are the most commonly searched types of Of Data Science jobs in Virginia? The most popular types of Of Data Science jobs in Virginia are:

Senior Data Scientist

Tecolote Research

Chantilly, VA โ€ข On-site

$130K - $160K/yr

Full-time

Re-posted 11 days ago


Job description

Overview
The Senior Data Scientist will support our customers initiatives by developing/maintaining/analyzing data sets in order to create models and determinate potential outcomes. The position is immediately available for qualified candidates with the appropriate clearance.
Responsibilities
The Senior Data Science Analyst shall be able to demonstrate experience and expertise in the following:
  • Programming languages such as Python(inclusive of libraries that are used in data science e.g. numpty, pandas, and scipy); R; Julia (dynamic programming language), or other programming languages.
  • The development of frameworks for creating and integrating machine learning models such as TensorFlow, Pytorch, Jupyter Notebook and or Apache Hadoop
  • The development and use of Visualizatin Tools to create interactive scientific graphing capabilities. These capabilities and experience can be a combination of tool familiarity exhibited with competency in Plotly, Tableau, PowerBI, Qlik, and/or Google Charts
  • Understanding of relevant statistical measures, development and evaluation of data sets.
  • Salary Range: $130,000 - $160,000/Year, DOE

Skills Required
The Senior Data Science Analyst shall apply the principles, theories and analytical methods of Data Science Analysis, which encompasses the following:
  • Tool and method development by using high-level modeling, machine learning techniques, and software languages
  • Hypothesis development and validation of budget and schedule sufficiency/achievability and risk parameters
  • Working with data visualization tools and creating data visualization concepts
  • Experience developing queries and reports, parsing and merging data from complex datasets
  • Establishing and integrating large datasets, data entry , data conditioning and cleaning, data mining and end-to-end database management
  • Developing customer-facing reporting tools to provide timely and accurate decision-support and information
  • Understanding of how data science enables cost estimating, IPM and cross program analysis for comprehensive, data driven methods and assessments.

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.