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High School Data Science Jobs in Virginia (NOW HIRING)

Roanoke City Public Schools

High School Math

Roanoke, VA · On-site

$47K - $63K/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 ...

Roanoke City Public Schools

High School Math

Roanoke, VA · On-site

$47K - $63K/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 ...

Noblis

Data Scientist

Reston, VA · On-site

OR High School diploma/GED with 11 years of related experience. * Experience with machine learning, statistical modeling, and time-series forecasting * Proficiency in data science tools and ...

Vervic Inc.

Data Scientist

Springfield, VA · On-site

$140 - $210/hr

High School Diploma and 10+ years of relevant experience; alternatively, a Bachelors / Masters ... For data science, automation, and analytics pipeline development. * With demonstrated experience in ...

Vervic Inc.

Data Scientist

Springfield, VA · On-site

... High School Diploma and 10+ years of relevant experience; alternatively, a Bachelors / Masters ... science, automation, and analytics pipeline development. o With demonstrated experience in ...

ManTech International

Data Scientist

Charlottesville, VA · On-site

$85K - $141K/yr

... high-impact, production-ready solutions supported by robust data engineering practices. Responsibilities include but are not limited to: * Lead and Contribute to Data Science Projects: Dive deeply ...

Two Six Technologies

Data Scientist

Arlington, VA · 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 ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site

... 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 ...

Analygence

Data Scientist

Arlington, VA · On-site

... 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 ...

Tulk LLC

Data Science SME Lead

Fort Belvoir, VA · 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 ...

The Aerospace Corporation

Data Scientist

Chantilly, VA

$95K - $142K/yr

... data science, Artificial Intelligence, process improvement, and software development to deliver responsive, resilient, high-performance software intensive systems to our Intelligence Community, DoD ...

DLA Piper

Data Scientist

Reston, VA · On-site

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Produce high-quality work and respond to correspondence in an efficient, timely, and professional ...

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High School Data Science information

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 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.

Is data science high in demand?

Data science is a highly in-demand field with strong job growth driven by the increasing use of data analytics across industries. Data scientists are sought after for their skills in programming, statistical analysis, and tools like Python and R, often requiring advanced degrees or certifications. The demand is expected to continue as organizations rely more on data-driven decision making.

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:

High School Data Science jobs near you
Infographic showing various High School Data Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Data Scientist

Data Computer Corporation of America

Chantilly, VA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 21 days ago

Key responsibilities

  • Design, develop, and validate predictive models, statistical algorithms, and machine learning models to solve complex federal business and operational challenges.

  • Extract, clean, and analyze large volumes of structured and unstructured data from disparate sources using ETL tools and cloud-native data services.

  • Translate complex analytical findings into intuitive dashboards, reports, and visualizations to support executive decision-making.

Job description

DCCA is a veteran-owned high-technology company specializing in providing information technology services to a variety of government agencies and commercial enterprises since 1982. DCCA is proud to offer a strong, competitive compensation and benefits package. Visit our website at: www.dcca.com .
Data Scientist
CANDIDATES MUST HAVE AN ACTIVE TS/SCI w/ Poly
For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure. With DCCA, these organizations can be confident in the flexibility and skill of their IT partners, allowing them to upgrade their technology quickly and efficiently. Better yet, thanks to DCCA's successful track record, clients can rest assured knowing DCCA can tackle any problem with ease, allowing them to focus on the work that matters.
Internally, DCCA prides itself on a culture built on integrity and inclusivity, allowing its employees to build lasting skills and relationships. As a veteran owned business, DCCA knows the importance of recruiting employees with a wide range of backgrounds, allowing for every problem to be approached by a diverse array of perspectives. Join us and be part of a team that has a people first mentality and a dedication to excellence.
Key Tasks:
  • Advanced Analytics & Modeling: Design, develop, and validate predictive models, statistical algorithms, and machine learning models to solve complex federal business and operational challenges.
  • Data Processing & Pipeline Integration: Extract, clean, and analyze large volumes of structured and unstructured data from disparate sources using ETL tools and cloud-native data services (e.g., AWS Glue, Apache Kafka).
  • Anomaly Detection & Fraud Prevention: Implement advanced algorithms (such as Isolation Forests) to detect anomalies in large transactional or operational datasets, enhancing audit efficacy and risk mitigation.
  • Data Visualization & Reporting: Translate complex analytical findings into intuitive dashboards, reports, and interactive visualizations using tools like Amazon QuickSight, Tableau, or Power BI to empower executive decision-making.
  • Cross-Functional Collaboration: Collaborate with cross-functional Agile teams, subject matter experts, and AI/ML engineers to seamlessly integrate data science models into production applications and microservices.
  • Security & Data Governance: Ensure all data handling and model deployments strictly adhere to federal data privacy regulations, HIPAA, the Privacy Act, and DoD/NIST security standards.
  • Continuous Improvement: Monitor model performance in production environments, retraining and tuning models as necessary to prevent drift and ensure sustained accuracy over time.

Required Skills:
  • Experience: Minimum of 5+ years of professional experience in data science, advanced analytics, or machine learning engineering.
  • Programming Languages: High proficiency in Python and R for data manipulation and modeling, as well as strong advanced SQL skills for complex database querying (e.g., PostgreSQL, Oracle).
  • Machine Learning Frameworks: Extensive hands-on experience with core ML and data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch).
  • Cloud & Big Data: Demonstrated experience operating within cloud ecosystems (AWS GovCloud preferred) and utilizing big data technologies and data lakes (e.g., AWS S3, EMR, Redshift).
  • Clearance: TS/SCI w/Poly.

Desired Skills :
  • Prior experience supporting federal government agencies (e.g., Intelligence Community) with complex data analytics.
  • Familiarity with Natural Language Processing (NLP) and Edge AI applications.
  • Experience with DevSecOps practices, CI/CD pipelines, and version control (e.g., Git) for collaborative model development (MLOps).
  • Active industry certifications (e.g., AWS Certified Data Analytics, AWS Certified Machine Learning, or equivalent).

Education/Certifications:
  • Education: Bachelor's or master's degree in data science, Statistics, Applied Mathematics, Computer Science, or related quantitative discipline.

The proposed salary range for this position in Virginia is 195,000 to 260,000. Final salary will be determined based on various factors. Our comprehensive benefit offerings include healthcare, retirement plan, paid disability and life insurance programs, employee assistance program, paid and unpaid leave programs, education assistance, and wellness initiatives.
At DCCA, we believe the key to providing our clients with unrivaled services starts with retaining top talent, something we're able to do through our consistent commitment to building culture and comprehensive benefits.
Competitive Compensation: While salary at DCCA is determined by various factors, we are committed to making sure our salaries reflect the skill and expertise of our employees. In addition, each year we perform an annual salary review ensuring pay is equitable across both the company and industry at large.
Growth Opportunities: DCCA makes it a priority to help you grow and support your career advancement. From upskilling programs to recertification support, to professional development opportunities, we're here to help you grow your career and create lasting relationships.
Emphasis on Inclusivity: DCCA's culture emphasizes respect, equity, and opportunity and is supported by an array of business resource groups and other opportunities for connection.
Empowering Health: DCCA's benefits which encompass healthcare, paid time off, and flexible 401(k) options encourage you to live a healthy and fulfilling life, both in and outside of work. Learn more about our total benefits package on our Benefits page.
Mission Focused Work: From the defense industry to health IT management, DCCA allows you to work on innovative projects whose outcomes improve people's lives and solve today's IT problems.
Equal Opportunity Employer including Disability/Vets

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