Data Scientist
Listed on 2026-08-04
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IT/Tech
AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Job Description
Insight Global is seeking a Quality Data Scientist in Greenville, SC supporting a large Automotive Manufacturing Client! This role is hybrid sitting 3 days in office with the Data Science Team with 5 other Data Scientist and the Manager. It is a 6-month contract, that will be up for extension or hire at the end of the year. This team is focused on building AI and data-driven solutions to improve product performance, operational efficiency, and customer outcomes.
The role is 70% building and creating AI Agents based on use cases and 30% deployment and testing in the business.
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.
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- 5+ years’ experience in data science
- 1+ year AI and Machine Learning
- Bachelor’s Degree in a relevant field (Computer Science, Applied Mathematics, Statistics)
- Proficiency in Python, PySpark, Pandas, Num Py.
- Strong proficiency in Power BI, Tableau, Scikit-Learn, Streamlit and generative AI (LLMs, Chatbots)
- Strong problem-solving skills, ability to build production-grade AI components, and practical experience with both proprietary and open-source models
- Work within a data scientist network to improve processes, tools, and people development
- Experience with OpenAI APIs and open-source LLMs (e.g., GPT, LLaMA, Gemini), knowledge of NLP models, and cloud platform deployment (Azure preferred)
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