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High School Data Science Jobs in Virginia (NOW HIRING)

... data science and/or engineering problems * Experiment with and evaluate potential solutions to develop high quality prototypes * Work with our engineering team to turn prototypes into scalable ...

Data Scientist

Arlington, VA ยท On-site +1

... data science and/or engineering problems * Experiment with and evaluate potential solutions to develop high quality prototypes * Work with our engineering team to turn prototypes into scalable ...

... data science methods, analytical models, and Palantir Foundry applications in direct support of ... This individual works independently on high-visibility and mission-critical analytical efforts and ...

Data Science SME Lead

Fort Belvoir, VA ยท On-site

$120K - $189K/yr

Why This Role Matters This is a hands-on leadership role for an experienced Data Science professional who can guide a team, teach advanced mission concepts, and help shape high-quality learning for ...

High School Math

Roanoke, VA ยท On-site

$51K - $88K/yr

... School for Science & Technology and two Career Technical Education Centers. GENERAL ... data, operation of machines, determining the accuracy and thoroughness of work, and observing ...

... science and analytics. You will work in a self-contained Big Data environment where the team ... High School Diploma with 7+ years of experience coding/scripting in Python * Demonstrated knowledge ...

... science and analytics. You will work in a self-contained Big Data environment where the team ... High School Diploma with 7+ years of experience coding/scripting in Python * Demonstrated knowledge ...

Lead the development and operationalization of advanced data science, machine learning, and ... Apply advanced quantitative methods to derive actionable insights from large, complex, and high ...

Bachelor's degree with 3 years of experience OR Associate's degree with 6 years of experience OR High School diploma/GED with 9 years of experience. * Proficiency in data science tools and ...

Showing results 41-60

High School Data Science information

What is the difference between High School Data Science vs Data Analyst?

AspectHigh School Data ScienceData Analyst
Required CredentialsHigh school diploma, online courses, certificationsBachelor's degree in data-related fields, certifications often preferred
Work EnvironmentEducational settings, online platforms, internshipsCorporate offices, consulting firms, various industries
Industry UsageEducational programs, entry-level roles, hobbyist projectsBusiness intelligence, market analysis, reporting

High School Data Science typically involves foundational skills suitable for beginners and educational purposes, often requiring minimal formal credentials. In contrast, Data Analysts usually hold a bachelor's degree and work in professional environments analyzing data to support business decisions. While both roles involve data handling, Data Analysts operate in more formal, industry-specific settings with advanced tools and responsibilities.

What is high school data science?

High School Data Science is an educational program or course that introduces high school students to the fundamentals of data science, including collecting, organizing, analyzing, and interpreting data. These courses typically cover topics such as statistics, data visualization, basic programming (often in Python or R), and real-world data applications. The goal is to help students develop analytical thinking and problem-solving skills by working with data relevant to their interests or current events. Students often work on projects that involve gathering data, analyzing trends, and communicating findings. High school data science prepares students for advanced studies and careers in the rapidly growing field of data science.

What are the key skills and qualifications needed to thrive as a high school data science teacher?

To thrive as a High School Data Science Teacher, you need a solid background in mathematics, statistics, and computer science, typically supported by a relevant teaching credential and a degree in a STEM field. Familiarity with programming languages like Python or R, data visualization tools, and educational technology platforms is highly beneficial. Strong communication, classroom management, and the ability to inspire curiosity are crucial soft skills for effectively engaging students. These skills ensure students gain practical data literacy while fostering an inclusive and stimulating learning environment.

What are some common challenges high school data science teachers face, and how can they be addressed?

High school data science teachers often encounter challenges such as varying levels of student experience with coding and statistics, limited access to relevant technology, and staying current with evolving curricula. To address these, teachers can scaffold lessons to accommodate different skill levels, collaborate with IT staff to ensure students have access to necessary software and devices, and participate in professional development or teacher communities to stay updated. Building strong relationships with colleagues in math and computer science can also help integrate data science concepts across subjects.

What are popular job titles related to High School Data Science jobs in Virginia?

For High School Data Science jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching High School Data Science jobs in Virginia look for?

The top searched job categories for High School Data Science jobs in Virginia are:

Infographic showing various High School Data Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Data Science Lead, Personnel Health Research & Data Analytics

Fors Marsh

Alexandria, VA โ€ข On-site

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

Data Science Lead: Personnel Health Research & Data Analytics, Military (Washington, D.C.)

WHO WE ARE: At Fors Marsh, we take on issues that matter. We are a team of researchers, strategists, and communicators working together to drive lasting change. We look at human behavior from all angles with a deep understanding of people and context to design solutions that influence decision-making and move people to action. Our work promotes health and well-being, shapes resilient communities, and builds effective and accountable institutions. We are a certified B Corporation and a Top Workplace for 7 consecutive years.

WHO WE ARE LOOKING FOR:

Fors Marsh is seeking an intelligent and motivated Researcher for a senior position with a background in quantitative social science or data science. This individual's primary responsibility would be to support a portfolio of quantitative social science and data science research projects for our Personnel Health Research & Data Analysis (PHRDA) team. PHRDA bridges the gap between social science and data science, leveraging innovative analytics tools for research committed to improving the health, wellbeing, and quality of life for Service members and DoW personnel. We routinely synthesize diverse sources of information, including administrative, survey, and text data and distill complex information for policymakers. We also support a wide variety of data science and operational tasks that enable our clients to successfully and efficiently collect, integrate, manage, and maintain a variety of administrative and survey data sources.

This individual's primary responsibility would include providing subject matter expertise and methodological expertise in areas such as machine learning, data wrangling, data management, advanced quantitative analysis, text analysis, automation, and artificial intelligence. This role will also involve overseeing a large project of foundational data science capabilities and will include leading a team of researchers, analysts, and data scientists as well as frequent engagement with clients. This individual should be equal parts social scientist, data scientist, and project manager. This job is best for someone who enjoys solving challenging problems with a large methodological toolkit, a high degree of intellectual curiosity, and thrives in a collaborative environment.

Responsibilities include:

  • Analytical and Technical Skills
    • Apply sophisticated principles in the fields of data science, quantitative social science, and/or programming to social science research projects and data science operational projects
    • Serve as the technical lead on research projects with a data science focus
    • Designing analytic solutions to ambiguous research questions and goals that may include techniques such as multi-level modeling (e.g., cross-classified random effects, linear mixed effects), data reduction (e.g., PCA, factor analysis, clustering), predictive model selection (e.g., LASSO, Ridge), natural language processing, and/or machine learning techniques
    • Interpret results from data analyses to identify patterns, solutions, and recommendations; distill complex analyses and associated results for technical and non-technical audiences
    • Communicate trade-offs associated with analytic approaches to technical and non-technical audiences
    • Oversee survey workflows focused on population specification and sample frame development, including identifying relevant data sources, cleaning, deduplication, and frame quality checks
    • Leverage AI tools to accelerate research, analysis, and reporting; lead the development internal prototypes and proofs of concept; enhance client offerings and expand AI capabilities; train other team members to build further AI proficiency
    • Oversee work in R, Python, and Databricks to execute automation tasks, R package creation, data wrangling, exploratory data analysis, and executing advanced analyses
  • Project Management
    • Oversee large, complex project to include developing task plans and timelines, implementing scope and financial controls, aligning staffing resources to project technical requirements, and ensure rigorous and timely delivery of all deliverables
    • Lead a matrixed team of data scientists, researchers, and analysts to include delegating tasks and overseeing task and project completion, providing support, guidance, and mentorship to junior team members
    • Collaborate with other project leaders and supervisors across the organization to accomplish project resourcing needs
  • Client and Stakeholder Interaction and Communication
    • Develop a deep understanding of client mission and objectives; directly interface with client teams and build strong, trusting relationships with clients to collaboratively accomplish project goals
    • Ensure client satisfaction with all project deliverables
    • Lead the development of client briefings and reports and mentor team members to deliver high-impact briefings to clients
    • Oversee the preparation of reports for technical and non-technical audiences
    • Respond to client requests for information and proposals and ad hoc requests
  • Supervisory Responsibilities and Team Orientation
    • Oversee a small team of data scientists and analysts
    • Work collaboratively with a mixed team of data and social scientists, cultivate a productive, growth-oriented work environment, propel team development

Qualifications:

  • Master's degree required; PhD preferred in a heavily quantitative social science (e.g., sociology, political science, psychology), data science, or related field
  • A minimum of four years of post-graduate applied research experience leading applied research projects
  • Experience managing multiple concurrent work streams, delegating and overseeing tasks, and supervisory experience
  • Experience interfacing directly with clients, overseeing high-quality deliverable creation, and ensuring projects align with client expectations and quality standards
  • Proficiency with AI-enabled tools
  • Demonstrated experience working with diverse data sources, including survey, personnel, administrative, and text data
  • Working knowledge of survey workflows supporting population definition, sample frame construction, and feature table creation to assist in survey package and tool development (R and Python)
  • Willingness and ability to learn new analytic approaches, methods, and research topic areas
  • Strong verbal and written communications skills, including the ability to describe technical concepts and results to both technical and non-technical audiences
  • Strong problem-solving skills and the ability to troubleshoot barriers as they arise
  • Experience working in R/R Studio required
  • Experience with Databricks required
  • Experience with Python required
  • Experience with SQL preferred
  • Experience with Gitlab preferred
  • Applicants will be subject to a government security investigation and must meet eligibility criteria for access to sensitive information.
  • Ability to work on-site in the Washington D.C. area 2-3 days a week.
  • Must be a U.S. Citizen and consent to a full background check due to our federal contract requirements.

We Offer:

Our benefits typically meet or exceed our competitors' packages. What's in it for you?

Ability to make an impact on people's lives, both internal and external to the organization.

Top-tier health and dental covered at 100% for employee coverage.

Additional vision, and long and short-term disability options.

Our company culture, which values balance and allows each employee to take leave as they require it to balance the responsibilities of both their work and home lives without worrying about depleting their available leave hours.

A floating holiday bank so you can celebrate the days you value.

Generous matching retirement contributions and no vesting period starting the third month of employment.

Dedicated training and development budgets to expand your expertise and grow your skillset.

You can volunteer your way with paid time off.

You can participate in Fors Marsh staff-led affinity groups.

Our employees receive product and service discounts through the certified B Corp network.

Salary: $100,000-$120,000 annual

Internal Fors Marsh Career Map Title: Senior Scientist II

Location: Hybrid. Individuals are expected to go into a federal government building in Alexandria, VA, and work on-site 2-3 days a week during business hours. #LI-Hybrid

Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.