Data Scientist

Job Description Insight Global is seeking a Data Scientist who is passionate about the physical world and wants to see their code come to life in the hum of machinery. You will be the go-to expert for translating high-frequency sensor data into predictive intelligence and for pioneering the use of Generative AI to solve core engineering challenges. You will collaborate shoulder-to-shoulder with mechanical, electrical, combustion and controls engineers to move beyond reactive problem-solving and create a proactive, data-driven manufacturing environment. This is a contract role, working onsite full-time 5 days per week This will be a continuation a project creating digital twins on the manufacturing floor. The twin will show if the machine overloaded/underloaded and if there is better sequencing for optimization for floor. 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 of Data Science experience (can include educational experience)
• Ability to work independently on end-to-end full-stack Data Science solutions, working directly with stakeholders, understanding problems and use cases, building, testing, deploying and refining models
• Experience building predictive models within python
• Experience with ML Ops, deploying commercialized models into cloud based environment (AWS preferred, Azure acceptable)
• Experience with Generative AI and LLMs (building RAG systems)
• Strong background and foundation in Mathematics
• Minimum of Bachelors Degree, ideally within Mathematics, Statistics, Physics, Engineering or related field
• Strong communication both verbal and written
• Curious mindset and passion for problem solving +Digital twin experience +Manufacturing experience