»¢Ñ¨ÊÓƵ

Reporting to the Director of Applied Research, the successful applicant(s) will support the college’s research and development activities in Data Analytics & Artificial Intelligence.  The successful applicant(s) will be responsible to:

• Conduct literature reviews and environmental scans to support applied research projects.
• Design and execute industry-based applied research and development projects.
• Collect, clean, manage, analyze, and interpret data using statistical, machine learning, and data analytics techniques.
• Develop predictive models, algorithms, dashboards, and data visualizations to address industry and community partner challenges.
• Support the responsible use of data and AI, including privacy, confidentiality, data governance, research ethics, and appropriate documentation of methods and results.
• Respond to industry requests for technical services, applied research support, and data/AI-related problem solving.
• Prepare technical reports, presentations, project documentation, and funding applications.
• Manage multiple projects while meeting established timelines, budgets, and deliverables.
• Collaborate with industry partners to identify needs, scope projects, and develop new applied research initiatives.
• Support and mentor students participating in applied research projects.
• Build and maintain relationships with industry, government, funding agencies, academic organizations, and community partners.
• Work with the Director of Applied Research to identify and pursue new research, partnership, and funding opportunities.
• Represent Holland »¢Ñ¨ÊÓƵat industry events, conferences, and networking activities.
• Promote research activities and partnerships through collaboration with internal stakeholders, including Marketing and Communications and HC Programs.
• Other duties as required.

• Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Information Systems, Business Analytics, Engineering, or a closely related field. An equivalent combination of education and applied experience may be considered.
• Demonstrated experience in data analysis, programming, machine learning, applied AI, or industry-facing analytics projects.
• Proficiency with Python, R, SQL, or similar data analytics tools and programming languages.
• Experience with machine learning techniques, predictive modeling, statistical analysis, and data interpretation.
• Experience developing reports, dashboards, or data visualizations using tools such as Tableau, Power BI, Python visualization libraries, R, or similar platforms.
• Strong written and verbal communication skills, including the ability to explain technical findings to non-technical audiences.
• Strong analytical, problem-solving, organizational, and project management skills.
• Ability to manage multiple projects, work collaboratively with internal and external partners, and meet deadlines.
• Demonstrated ability to work with confidential or sensitive data in a responsible and professional manner.

Assets:

• Experience with applied research, industry partnerships, technical service delivery, or grant/funding applications.
• Experience mentoring students, research assistants, or junior technical staff.
• Experience with cloud platforms, data engineering workflow's, databases, APIs, version control, or reproducible research practices.
• Experience with generative AI, natural language processing, computer vision, forecasting, simulation, optimization, or other applied AI methods.
• Experience working with small and medium-sized enterprises, public-sector organizations, non-profits, or community partners.