Data Scientist

Job Description We are hiring for a Data Scientist in Columbus (or Cleveland) Ohio. You will join a growing team focused on applied AI and large language model (LLM) development. This is a developer‑style data science role and is ideal for someone who enjoys heads‑down coding, building models end‑to‑end, and turning AI concepts into production‑ready solutions. This role will work closely with internal teams and external AI vendors on large‑scale automation and AI initiatives.

Responsibilities include:

• Design, build, and deploy data models and machine learning solutions, with a heavy emphasis on LLMs and applied AI use cases
• Develop and productionize AI solutions end‑to‑end (data ingestion, modeling, testing, deployment)
• Work hands‑on in Python and modern ML/AI frameworks to build scalable, maintainable solutions
• Partner with engineering teams and vendors to integrate AI models into real‑world systems
• Contribute to large, high‑visibility AI projects focused on automation and intelligent decision‑making
• Continuously improve model performance, reliability, and scalability in production environments 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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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

• Strong engineering background with a data science or machine learning focus
• Hands‑on, developer‑oriented mindset (this is not a research‑only role) and comfort working "heads‑down" on complex technical problems
• Experience in Building Silver and Gold Layer of Data Lake
• Medallion
• Experience in Building Data Science Models
• Unsupervised Learning preferred
• Proficient at Python, Airflow DAG, Azure Data Factory, PostgreSQL Database, SQL Queries
• Performance Tuning
• LangChain, pgVector