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Executive Data Science Jobs in Virginia (NOW HIRING)

Hive Group LLC

Data Scientist

Mclean, VA · On-site

... and executive briefings. Candidates are encouraged to submit their information and resumes ... Bachelor's degree in Data Science, Statistics, Mathematics or Computer Science is required; A ...

Unissant

Data Scientist

Herndon, VA · On-site

$104K - $163K/yr

... executive-level analytical reports using tools such as RMarkdown or Jupyter Notebook. Education: * Bachelor's Degree required. Preferred fields: Computer Science, Data Science, Statistics ...

GRVTY

Data Scientist - Senior

Springfield, VA · On-site

Create executive-level briefings, reports, and visualizations to communicate analytical findings ... Master's degree in Data Science, Statistics, Business, or related field preferred. * Expert ...

Excella

Senior Consultant Data Scientist

Arlington, VA · On-site +1

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 ...

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Executive Data Science information

See Virginia salary details

$26.3K

$92.8K

$182.4K

How much do executive data science jobs pay per year?

As of Jul 20, 2026, the average yearly pay for executive data science in Virginia is $92,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $119,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Executive Data Scientist, and why are they important?

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

What is Executive Data Science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What is the difference between Executive Data Science vs Data Scientist?

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

How does an Executive Data Scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.
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 Executive Data Science jobs in Virginia? For Executive Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Executive Data Science jobs in Virginia look for? The top searched job categories for Executive Data Science jobs in Virginia are:
What cities in Virginia are hiring for Executive Data Science jobs? Cities in Virginia with the most Executive Data Science job openings:
Executive Data Science jobs near you
Data Scientist

Data Scientist

Hive Group LLC

Mclean, VA • On-site

Full-time

Re-posted 21 days ago

Job description

Hive Group, a HUBZone-certified SDVOSB and multiple award-winning organization, delivers innovative solutions to address complex, mission critical program challenges for the federal government. 

We are seeking a Data Scientist as part of a bid process associated with a Statement of Work. This role supporting USCIS focuses on transforming complex immigration data into actionable intelligence for decision-makers. This level requires the ability to work under limited supervision, often bridging the gap between raw data and executive briefings. Candidates are encouraged to submit their information and resumes highlighting their relevant experience.

Position Responsibilities

  • Design and implement predictive models to identify trends in benefit requests, potential fraud indicators, or national security vulnerabilities.
  • Utilize the USCIS Data Lake to aggregate, clean, and analyze structured and unstructured datasets.
  • Develop and maintain enterprise-level dashboards (e.g., using Tableau or Power BI) to track key performance indicators (KPIs) and operational metrics.
  • Translate highly technical analytical findings into clear, non-technical recommendations for agency senior leadership and interagency partners.
  • Collaborate with the Office of Information Technology (OIT) to evaluate new tools and ensure data integration between disparate DHS systems. 
  • Must be able to work ON-SITE with the customer or at the Hive Group HQTRS in McLean VA.

Required Qualifications

  • Minimum of three (3) years of relevant progressive experience in Data Science
  • Bachelor’s degree in Data Science, Statistics, Mathematics or Computer Science is required; A Master’s degree in these areas is preferred.
  • Certified Senior Data Scientist certification or similar is highly desirable.
  • Advanced proficiency in Python, R, or SQL is mandatory for querying and integrating complex datasets.
  • Mastery of regression, forecasting, hypothesis testing, and machine learning techniques.
  • Experience with agency-specific systems for identity management and immigration status verification.
  • Expertise in preprocessing, feature engineering, and cleaning large-scale, high-dimensional federal datasets. 
A Commitment to Equal Opportunity Hive Group is an Equal Employment Opportunity and Affirmative Action employer dedicated to fair and unbiased employment decisions. We do not discriminate based on race, color, sex (including gender and transgender status), age, religion, national origin, disability, marital status, veteran status, domestic partner or civil union status, gender identity, medical condition, genetic information, sexual orientation, or any other status protected by applicable federal, state, and local laws. Our hiring and promotion decisions are based exclusively on an individual’s qualifications and suitability for the role.   Protecting Your InformationStay vigilant against fraudulent job offers and individuals impersonating Hive Group Talent Acquisition Specialists. Hive Group will never request payment details or money during the application process. Official communications will only come from email addresses ending in @hive-llc.com or @applytojob.com — not from free email services like Gmail or messaging platforms such as WhatsApp. If you receive suspicious messages requesting payment or personal information, please report them immediately to talentacquisition@hive-llc.com.

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