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Vice President Data Science Jobs in Virginia (NOW HIRING)

The Vice President(VP), - Data Center Services(DCS) will play a key leadership role in ensuring the successful sourcing and delivery of complex infrastructure projects within the data center ...

The VP Data Solutions drives cross-functional alignment and ensures the portfolio delivers ... Experience with Life Sciences customers, including commercialization of data products in that ...

VP of Data

Vienna, VA · On-site

$150 - $200/hr

Data engineers, analytics engineers, analysts, data scientists, and ML engineers across the data ... The VP of Data will own and grow the data organization end‑to‑end: data engineering and ...

New

VP of Operations

Ashburn, VA · On-site

$180K - $230K/yr

As the VP of Operations for our colocation data centers, you will play a pivotal role in overseeing ... Bachelor's degree in computer science, Engineering, Business Administration, or other related field ...

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VP of Operations

Chantilly, VA · On-site

$180K - $230K/yr

As the VP of Operations for our colocation data centers, you will play a pivotal role in overseeing ... Bachelor's degree in computer science, Engineering, Business Administration, or other related field ...

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Vice President Data Science information

See Virginia salary details

$43.1K

$156.2K

$275.1K

How much do vice president data science jobs pay per year?

As of Jul 30, 2026, the average yearly pay for vice president data science in Virginia is $156,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $188,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a Vice President of Data Science when scaling data teams across an organization?

A Vice President of Data Science often encounters challenges such as aligning data initiatives with business objectives, ensuring consistent data governance practices, and fostering effective collaboration between technical and non-technical teams. Balancing the need for rapid innovation with maintaining data quality and compliance can also be demanding. Additionally, scaling the team requires strong leadership skills to recruit, mentor, and retain top talent while promoting a culture of knowledge sharing and continuous learning.

What is the difference between Vice President Data Science vs Data Scientist?

AspectVice President Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentExecutive leadership, strategic planningTechnical analysis, model development
Employer & Industry UsageCorporate, large organizations, tech, financeVaried industries, research labs, startups

The Vice President Data Science typically oversees data strategy and manages teams, requiring leadership and strategic skills. Data Scientists focus on building models and analyzing data. While both roles require strong technical skills, the VP role emphasizes management and vision, whereas Data Scientists are more hands-on with data analysis.

What are the key skills and qualifications needed to thrive as a Vice President of Data Science, and why are they important?

To thrive as a Vice President of Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Familiarity with data platforms like Hadoop, Spark, and cloud-based analytics tools, as well as experience with programming languages such as Python or R, is crucial, along with certifications in data management or analytics. Strong strategic vision, communication, and team leadership skills distinguish top performers in this role. These skills and qualities drive innovation, enable data-driven decision-making, and ensure alignment with organizational goals.

What does a Vice President of Data Science do?

A Vice President of Data Science leads the data science division within an organization, overseeing teams that analyze large datasets to drive strategic business decisions. They are responsible for developing data-driven strategies, managing data science projects, and ensuring the alignment of analytics initiatives with the company’s goals. This executive role also involves collaborating with other leaders, mentoring data science teams, and staying updated on the latest technologies and trends in data science. Ultimately, the Vice President of Data Science ensures that the organization's data assets are leveraged to create measurable business value.

What Does a Vice President of Data Science Do?

As vice president of data science, your responsibilities include targeting audiences through both online and offline data. You lead a team of analysts, manage client needs, and implement solutions to build brands. Predictive analytics is a large part of this job, as is the ability to create strong content based on data science. You use analytical data to develop a business model that reaches a broader audience. Other duties include providing thought leadership, anticipating project risks, and translating analytical science into actionable marketing campaigns. This role is almost always in-house.

What are the most commonly searched types of Data Science jobs in Virginia? The most popular types of Data Science jobs in Virginia are:
What are popular job titles related to Vice President Data Science jobs in Virginia? For Vice President Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Vice President Data Science jobs in Virginia look for? The top searched job categories for Vice President Data Science jobs in Virginia are:
What cities in Virginia are hiring for Vice President Data Science jobs? Cities in Virginia with the most Vice President Data Science job openings:
Infographic showing various Vice President Data Science job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $156,181 per year, or $75.1 per hour.

VP, Data Analytics and Insights

Five Guys

Alexandria, VA

Full-time

Re-posted 13 days ago


Five Guys rating

6.4

Company rating: 6.4 out of 10

Based on 383 frontline employees who took The Breakroom Quiz

13th of 106 rated fast food restaurants


Job description

Based at our office in Alexandria, VA, the Vice President – Data Analytics and Insights is a senior executive responsible for building and leading Five Guys’ enterprise analytics capability. This new role owns the strategy, team, and delivery of Business Intelligence and Reporting, Pricing and Revenue Management, Advanced Analytics and Data Science, Business Analytics, and Consumer Insights across all channels for both Company and Franchise restaurants. The VP serves as the organization’s central authority on data-driven decision-making. The role partners with Marketing, Operations, Digital, Finance, IT, Supply Chain, and Franchisees to deliver actionable insights that drive profitable growth, optimize pricing, deepen guest understanding, and improve operational performance system-wide. The VP will build a high-performing, analytically rigorous team and foster a culture where data underpins every major commercial and operational decision.

Essential Duties and Responsibilities:

Provide analytical support to Marketing, Operations, Digital, and Finance teams for key questions regarding overall business performance 

Lead the development of test-and-learn frameworks, including experiment design, control group methodology, and statistical significance standards, to enable disciplined innovation across the business.

Conduct ad-hoc deep-dive analyses to answer critical business questions and support strategic planning, annual budgeting, and new-initiative business cases.

Define, govern, and evolve Five Guys’ enterprise BI and reporting strategy, including platforms, dashboards, and self-service tools, ensuring accurate, timely insights for executives, functional leaders, and field operations.

Partner with IT to ensure data infrastructure, warehousing, and pipelines are scalable, reliable, and aligned with current and future analytics needs.

Own Five Guys’ enterprise pricing strategy, developing pricing models and elasticity analyses to guide menu, promotional, delivery, and marketspecific pricing decisions.

Collaborate with Finance, Supply Chain, and Operations to assess margin impacts, vendor cost changes, and new menu initiatives, supported by a clear pricing governance framework.

Own the consumer insights function, leading qualitative and quantitative research programs (brand tracking, guest satisfaction surveys, concept testing, segmentation studies, and ethnographic/in restaurant research) to build a deep, actionable understanding of Five Guys guests and prospects.

Serve as the “voice of the guest” across the organization, synthesizing research findings into clear
narratives that inform brand strategy, menu innovation, marketing campaigns, and guest experience
improvements.

Manage relationships with external research vendors and syndicated data providers (e.g.,
Technomic, NPD / CREST, Placer.ai, or similar) and ensure the organization has access to the
competitive and industry intelligence it needs.


Build and lead the data science function, developing predictive and prescriptive models that drive
measurable business outcomes in areas such as demand forecasting, labor optimization, menu mix
optimization, guest lifetime value, churn prediction, and site selection.


Identify and prioritize high-impact analytics use cases across the business; develop a roadmap for
model development, testing, deployment, and ongoing refinement.


Build, lead, and develop a high-performing analytics organization spanning multiple disciplines (BI,
pricing, data science, business analytics, and consumer insights), attracting and retaining top talent
in a competitive market.


Establish clear team goals and performance metrics tied to business outcomes, and manage
departmental budgets including headcount, technology, vendor, and research spend.

Qualifications Guidelines:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
The requirements listed below are representative of the knowledge, skill, and/or ability required.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential
functions.


Education/Experience:
Bachelor’s degree in a quantitative or business-related field required; advanced degree (MBA, M.S.,
or Ph.D.) strongly preferred.
10+ years of progressive experience in analytics, data science, pricing, consumer insights, or
business intelligence, including senior leadership of multidisciplinary teams.
Experience in multiunit, franchise, or consumerdriven industries strongly preferred.

Language Ability:
Exceptional verbal and written communication skills, with the ability to translate complex analytical findings
into clear, actionable insights for executive leadership, franchise partners, and cross-functional
stakeholders.


Math Ability:
This position requires advanced business math skills.


Reasoning Ability:
The position requires exceptional analytical reasoning, intellectual curiosity, and strategic judgment. The
successful candidate will navigate ambiguity across a wide range of business problems, synthesize data
from disparate sources (POS, digital platforms, third-party marketplace data, survey research, syndicated
industry data, and financial systems), and make sound recommendations that balance short-term
performance with long-term brand and business health. Must be comfortable challenging conventional
thinking with evidence-based perspectives and managing the inherent tension between analytical precision
and the speed required in a fast-paced restaurant environment.


Computer Skills:
Excellent personal computer literacy is required, with proficiency in Word, Excel, PowerPoint, Internet, and
other appropriate software. Strong familiarity with BI, data visualization, data warehousing, and analytics
platforms, (e.g., Tableau, Power BI, Looker, or similar) with experience overseeing enterprise analytics
tools, data pipelines, and model development. (e.g., Snowflake, Databricks, BigQuery, or similar).


Supervisory Responsibilities:
This position has supervisory responsibilities.


Physical Demands:
This position may require extended periods of sitting and the use of office equipment and computers.
Occasional travel to restaurant locations, franchise partner meetings, vendor offices, research facilities,
and industry conferences will be required; travel is estimated at 15–25% annually, with peak periods
around strategic planning cycles, franchise conventions, and major research initiatives.
The above job description is not intended to be an all-inclusive list of duties and standards of the position.
Incumbents will follow any other instructions, and perform any other related duties, as assigned by their
supervisor, policy and company management.


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