Job Description Insight Global is looking to bring on a Senior Data Scientist to support a large Aerospace client. This person will be supporting in Aftermarket & Sustainment Engineering, joining their methods team to develop game changing cloud-scale software solutions to transform the aftermarket business. This role supports the full lifecycle of data-driven solutions — from discovery and integration of cross-functional data sources to ETL workflows, analytics, and AI/ML product development. The goal is to uncover trends, predict part distress, and maximize business impact for end users through advanced analytics and intelligent data solutions. 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.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements • 5+ years experience as a Data Scientist  • Experience with Databricks  • Experience developing in python  • Experience with database technology such as SQL or NoSQL  • Experience developing PowerBI/Qlik dashboards  • Familiarity with AI/ML technologies including GenAI/LLM's Experience working in an Agile environment • Bachelor’s degree in Data Science, Engineering, Software Engineering, or Computer Science n/a