Data Science Instructor

Applications will be accepted through November 19, 2026. Interested candidates are encouraged to apply early, as application review may begin before the closing date. To ensure full consideration, please submit a complete application by the posted deadline.

This position requires eligibility to access controlled unclassified information (CUI) and export controlled data. Candidates must meet applicable federal requirements, including U.S. person status where required. This role is onsite in Danville, VA.

• Anticipated hiring range: $107,800 - $117,000. Salary will be commensurate with qualifications and experience and determined based on market benchmarks and internal equity.
• Retirement benefits are provided through the Virginia Retirement System (VRS) with employer match.
• Generous time off is offered, including vacation, paid sick leave, and paid family leave after one year.
• Paid holidays include a two week paid winter break.
• Medical coverage includes Anthem PPO and HSA health plans with excellent dental options.

Turn Data Into Real-World Impact

The Institute for Advanced Learning and Research (IALR) is seeking an experienced Data Science Instructor to deliver advanced, applied data science training to professionals working in manufacturing environments.

This is not a traditional classroom teaching position. The Data Science Instructor combines advanced technical expertise with hands-on instruction to help professionals understand and apply data science to real operational challenges. This role is ideal for a data science professional who enjoys translating complex concepts into practical applications, developing others, and helping organizations build stronger data-driven capabilities.

What You Will Do

As the Data Science Instructor, you will deliver applied technical training, mentor participants, and help ensure IALR's data science curriculum remains relevant to industry needs. Key responsibilities include:

• Deliver IALR's Data Science Practitioner and Data Science Associate courses.
• Lead engaging instructor-led training through classroom, workshop, and hands-on learning experiences.
• Facilitate exercises, projects, discussions, and applied learning activities using real-world data science applications.
• Teach advanced concepts in statistical analysis, machine learning, predictive modeling, data visualization, Python programming, data management, data engineering, DevOps, CI/CD pipelines, and MLOps.
• Translate complex technical concepts into practical learning experiences for professionals with varying levels of technical expertise.
• Mentor participants through technical concepts and project-based learning.
• Assess participant performance and provide meaningful technical feedback, coaching, and support.
• Collaborate with program leadership to continuously improve curriculum, instructional materials, and learning outcomes.
• Help adapt technical content and learning activities to emerging industry and manufacturing needs.
• Stay current on emerging tools, technologies, and best practices in data science, machine learning, artificial intelligence, and analytics.
• Travel to manufacturing facilities and industry partner locations to deliver training and support learner success.

How You Will Help the Team

Success in this role means helping professionals turn data into meaningful insights and practical solutions. You will:

• Build data science capabilities among professionals working in manufacturing and industry.
• Connect advanced statistical and analytical concepts with real-world business and operational challenges.
• Help participants apply data science techniques directly within their organizations.
• Support continuous improvement of IALR's applied data science curriculum and instructional resources.
• Bring current data science practices and technologies into the learning environment.
• Create engaging, hands-on learning experiences that strengthen participant understanding and confidence.
• Support strong learning outcomes through mentoring, coaching, and technical expertise.