Data Science Instructor

INSTITUTE FOR ADVANCED LEARNING AND RESEARCH • Danville, VA

5d • $107,800 - $117,000 • Onsite

About The Position

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 an onsite role in Danville, Virginia, combining technical expertise with hands-on instruction to help professionals understand and apply data science to real operational challenges.

The instructor will deliver IALR’s Data Science Practitioner and Data Science Associate courses through classroom instruction, workshops, and hands-on learning experiences. The role includes teaching statistical analysis, machine learning, predictive modeling, data visualization, Python programming, data management, data engineering, DevOps, CI/CD pipelines, and MLOps. The instructor will mentor participants, assess performance, provide technical feedback and coaching, and help maintain curriculum relevance to industry and manufacturing needs.

The position collaborates with program leadership to improve curriculum, instructional materials, and learning outcomes, and stays current with emerging data science, machine learning, artificial intelligence, and analytics practices. Travel to manufacturing facilities and industry partner locations is required to deliver training and support learners. The stated travel percentage is up to 25% in the job details; the qualifications and physical requirements also state up to 75% based on program and business needs.

Applicants must be eligible to access controlled unclassified information (CUI) and export-controlled data and meet applicable federal requirements, including U.S. person status where required. The anticipated hiring range is $107,800–$117,000 per year, commensurate with qualifications and experience. Applications are accepted through November 19, 2026, and review may begin before the deadline.

Requirements

• Master’s degree or Ph.D. in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, or a related field.
• Demonstrated expertise in statistical analysis, machine learning, predictive modeling, and data visualization.
• Strong proficiency in Python programming and data science tools and methodologies.
• Knowledge of data management, data engineering concepts, DevOps, CI/CD pipelines, and MLOps.
• Experience teaching, training, or facilitating technical instruction in professional development, higher education, corporate learning, workforce development, or a similar environment.
• Ability to explain advanced technical concepts to learners with varying levels of technical expertise.
• Strong presentation, facilitation, written and verbal communication, and interpersonal skills.
• Ability to mentor learners and provide meaningful technical coaching and feedback.
• Ability and willingness to travel; the qualifications state up to 75%, while the job details state travel up to 25%.
• Eligibility to access controlled unclassified information (CUI) and export-controlled data, and ability to meet applicable federal requirements, including U.S. person status where required.
• Ability to operate a computer and standard office equipment.
• Ability to work in classroom, office, and manufacturing or industrial environments.
• Ability to travel frequently to customer and partner locations.

Nice To Haves

• Experience working in manufacturing or an industrial environment.
• Experience applying data science to process optimization, quality improvement, predictive maintenance, supply chain analytics, or industrial operations.
• Experience teaching adult learners or delivering workforce development programs.
• Experience developing, adapting, or delivering hands-on technical curriculum and training.
• Experience working directly with industry partners or customers to address real-world data and analytics challenges.

Responsibilities

• Deliver IALR’s Data Science Practitioner and Data Science Associate courses.
• Lead instructor-led classroom, workshop, and hands-on training.
• Facilitate exercises, projects, discussions, and applied learning activities using real-world data science applications.
• Teach 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 participants with varying levels of technical expertise.
• Mentor participants through technical concepts and project-based learning.
• Assess participant performance and provide technical feedback, coaching, and support.
• Collaborate with program leadership to improve curriculum, instructional materials, and learning outcomes.
• Adapt technical content and learning activities to emerging industry and manufacturing needs.
• Stay current on data science, machine learning, artificial intelligence, analytics tools, technologies, and best practices.
• Travel to manufacturing facilities and industry partner locations to deliver training and support learner success.
• Help professionals apply data science to organizational challenges and build data science capabilities in manufacturing and industry.

Benefits

• Retirement benefits through the Virginia Retirement System (VRS) with employer match.
• Vacation leave.
• Paid sick leave.
• Paid family leave after one year.
• Paid holidays, including a two-week paid winter break.
• Medical coverage through Anthem PPO and HSA health plans.
• Dental coverage options.

What This Job Offers

• Job Type: Full-time