Data Science Instructor

Institute For Advanced Learning And Research • Danville, VA

1d • 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 not a traditional classroom teaching position; it combines advanced 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, mentor participants, and help keep the curriculum relevant to industry needs.

The role involves teaching topics including statistical analysis, machine learning, predictive modeling, data visualization, Python programming, data management, data engineering, DevOps, CI/CD pipelines, and MLOps. The instructor will create engaging, applied learning experiences, coach participants through project-based work, assess performance, and collaborate with program leadership to improve curriculum and learning outcomes. The role also includes adapting content to emerging manufacturing and industry needs and traveling to manufacturing facilities and partner locations to deliver training.

This is an onsite role in Danville, Virginia, with travel of up to 75%. Candidates must be eligible to access controlled unclassified information (CUI) and export-controlled data and must meet applicable federal requirements, including U.S. person status where required. Applications will be accepted through November 19, 2026; candidates are encouraged to apply early, and application review may begin before the closing date.

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 up to 75%.
• Eligibility to access controlled unclassified information (CUI) and export-controlled data, including meeting applicable federal requirements and U.S. person status where required.

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 professionals 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 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.

Benefits

• Retirement benefits through the Virginia Retirement System (VRS) with employer match.
• Vacation, paid sick leave, and 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
• Career Level: Mid Level