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Data Science Educator Jobs in Reston, VA (NOW HIRING)

Education: Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field (Master's with extensive experience considered) * Experience: 7+ years of experience ...

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

We are currently seeking a Data Scientist. This position is a full-time opportunity located in ... education. A Work Environment Where You Succeed For brilliant minds in science, technology ...

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

We are currently seeking a Data Scientist. This position is a full-time opportunity located in ... education. A Work Environment Where You Succeed For brilliant minds in science, technology ...

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Bachelor's degree in Data Science, Engineering, Mathematics, Statistics, or related field. * CAP ... In some cases, tuition assistance may be available for continuing education expenses and ...

Data Scientist, Mid

Washington, DC · On-site

$77K - $176K/yr

Join us as we use data science for good in building this capability. Join us. The world can't wait ... education, knowledge, skills, competencies, and experience, as well as contract-specific ...

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Required Skills and ExperienceBachelor's degree in Data Science, Engineering, Mathematics ... In some cases, tuition assistance may be available for continuing education expenses and ...

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

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 ...

Active TS/SCI clearance and ability to pass CI poly Required experience and education: 3+ years of experience AND bachelor's degree in quantitative social science, statistics, data science, or ...

Active TS/SCI clearance and ability to pass CI poly Required experience and education: 3+ years of experience AND bachelor's degree in quantitative social science, statistics, data science, or ...

Data Scientist

Rockville, MD · On-site

$95K - $142K/yr

As a Data Science Expert, you combine advanced data science and business analytics experience to ... education, skills, and other job-related factors. Position may be eligible for sales or performance ...

In addition to being responsible for applying data science techniques for cybersecurity solutions ... When extending an offer, VTG also considers work experience, education, skill level, market ...

... data science or engineering (an additional 4 years of experience may be substituted for the above education requirements) • Deep understanding and experience using Python and/or R • Prior ...

Experience in data science, analytics, or quantitative intelligence analysis with progressive ... Required Education and Experience Equivalency * B.S. Degree in a quantitative or analytical field ...

The role involves delivering advanced data science capabilities to advance national security ... Required Education and Experience Equivalency * B.S. Degree in a quantitative or analytical field ...

Data Scientist - Mid

Washington, DC · On-site

$120K - $160K/yr

Active Top Secret/SCI security clearance Minimum Education: Bachelor's degree in data science, computer science, statistics, or a related field Minimum Years of Experience: 8+ years of relevant data ...

Showing results 41-60

Data Science Educator information

See Reston, VA salary details

$10

$23

$42

How much do data science educator jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for data science educator in Reston, VA is $23.32, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $25.53 per hour, depending on experience, location, and employer.

What is a data science educator?

Data Science Educators are professionals who teach concepts, tools, and techniques related to data science, such as statistics, programming, and machine learning. They may work in academic institutions, online platforms, or corporate training environments to help students and professionals develop data-driven skills. Their responsibilities often include designing curriculum, delivering lectures or workshops, and mentoring learners to apply data science in real-world scenarios.

How do data science educators balance teaching responsibilities with staying updated on industry trends and emerging technologies?

Data Science Educators often split their time between curriculum development, classroom instruction, and professional development activities. Staying current with rapidly evolving tools and methodologies is crucial, so educators frequently attend workshops, participate in online courses, and collaborate with industry professionals. Many institutions encourage or require educators to engage in continuous learning, which may include research projects or networking with data science practitioners. This balance ensures that students receive up-to-date, practical knowledge and that educators remain effective in a fast-changing field.

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

To thrive as a Data Science Educator, you need a solid background in statistics, programming (often Python or R), machine learning concepts, and typically a relevant degree or professional experience in data science. Familiarity with tools such as Jupyter Notebooks, data visualization platforms, and online learning management systems, as well as certifications like Microsoft Certified: Azure Data Scientist or IBM Data Science Professional Certificate, is valuable. Outstanding communication, patience, and the ability to break down complex topics into accessible lessons are crucial soft skills. These competencies enable educators to effectively teach and inspire diverse learners, ensuring students gain practical, industry-relevant skills.

How to become a data science educator?

To become a data science educator, one typically needs a strong background in data science, including skills in programming, statistics, and machine learning, often supported by a relevant degree such as a master's or Ph.D. Additionally, experience in teaching or training, proficiency with tools like Python or R, and the ability to communicate complex concepts clearly are important. Gaining certifications or completing specialized training can also enhance credibility in this role.
Infographic showing various Data Science Educator job openings in Reston, VA as of June 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 62% In-person, 15% Hybrid, and 23% Remote job distribution, with an average salary of $48,510 per year, or $23.3 per hour.

Data Scientist

Washington, DC • On-site

Stock Group Analytics
IT Services • 1 - 10 employees

Other

Posted 11 days ago


Job description

Position Summary

The Data Scientist is responsible for applying advanced statistical and machine learning techniques to Government’s data to generate predictive insights, develop forecasting models, and support data-driven decision-making. This role works closely with AI Engineers and Data Analysts to integrate predictive capabilities into dashboards and operational systems.

Key Responsibilities
  • Build and deploy predictive models for operations (e.g., predictive maintenance, demand forecasting, anomaly detection)
  • Perform statistical analysis and trend forecasting on historical data
  • Develop machine learning models trained on Government's data for specific use cases
  • Integrate predictive analytics into Power BI dashboards and operational systems
  • Design and implement AI-assisted data quality checks including ML-based anomaly detection
  • Conduct exploratory data analysis to identify patterns and insights
  • Evaluate model performance and implement continuous improvement processes
  • Collaborate with Data Engineers on data pipeline requirements for ML workflows
  • Document model methodologies, assumptions, and performance metrics
  • Present findings and recommendations to technical and non-technical stakeholders
  • Support AI Governance Board with model performance reporting and bias assessments
Required Qualifications
  • Education: Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field (Master's with extensive experience considered)
  • Experience: 7+ years of experience building and deploying predictive models in production environments
  • Technical Skills:
    • Expert proficiency in Python and/or R for data science
    • Strong knowledge of machine learning algorithms and statistical techniques
    • Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch)
    • Proficiency in SQL and database querying
    • Experience with cloud data platforms (Azure ML, AWS, GCP)
    • Knowledge of time series forecasting and anomaly detection techniques
    • Familiarity with data visualization tools (Power BI, Tableau)
Preferred Qualifications
  • Domain knowledge in manufacturing analytics, quality control, or production operations
  • Experience in federal government data science programs
  • Knowledge of Responsible AI principles and model governance
  • Experience with Azure Machine Learning and Azure Synapse Analytics
  • Publications or demonstrated expertise in applied machine learning
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