Data Scientist (Remote)

Job Description Day to

Day:

Insight Global is looking for a Senior Data Scientist who will spend each day developing and maintaining a consistent, scalable approach to institutional data analysis while building knowledge management tools that help leaders understand key insights across the student lifecycle. Their work will involve applying statistical models, such as regression, classification, and forecasting, to support strategic decision‑making, as well as creating and maintaining dashboards, reports, forecasts, and databases that communicate findings clearly to both technical and non‑technical audiences. They will regularly mine large datasets, performing data cleaning, validation, and error analysis to ensure accuracy, and analyze trends and patterns with institutional goals in mind. The role also requires developing deep expertise in academic, operational, and financial data, collaborating across departments to build and refine data models, and contributing to the automation of data processes and the development of machine learning workflows We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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Skills and Requirements Desired Skills and Experience:

• Bachelor's degree in Data Analytics (Master's preferred) or in Business/Analytics paired with a relevant Master's degree
• 4-6 years of experience working within higher education, particularly with student information systems and institutional data.
• Strong programming skills for data extraction, transformation, and integration.
• Experience using SQL, Python, & R
• Experience developing dashboards, reports, and data tools for technical and non‑technical audiences.
• Ability to interpret both quantitative and qualitative data and translate findings into actionable recommendations.
• Experience forecasting enrollment, retention, or financial trends
• Commitment to obtaining an Azure Data Science certification within 6-12 months of hire.

Understanding of data automation principles and fundamentals of machine learning operations (MLOps).

Plusses:

• Experience with knowledge management systems or tools that support student lifecycle analytics.
• Familiarity with big-data environments, algorithm development, and error analysis.
• Experience working with academic, operational, and financial datasets in a higher‑ed context.

Prior involvement in building or managing data models across functional units.