• Senior Data Scientist - INTL Brazil

    Insight Global (Philadelphia, PA)


    Job Description

    You’ll work closely with two Principal Data Scientists and own a feature within a broader education technology initiative. Your tasks will be assigned via Jira by a project manager, and you’ll collaborate with engineering to push code into production. While you won’t be responsible for defining features, you’ll execute on them independently, relying on the Principal Data Scientist for guidance and feedback. Expect 1–2 scrums per week, formal data process reviews (but no formal code reviews), and a fast-paced environment focused on delivering RAG-based AI solutions that support clients.

     

    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 [email protected] 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

    • 5–6+ years of experience as a Data Scientist

    • 1–2 years of hands-on experience with Generative AI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs)

    • Strong Python skills, with the ability to integrate code into existing engineering frameworks and hand off to engineering for production deployment

    • Proficiency with GitHub and version control workflows

    • Experience with database structures and cloud computing (any provider is acceptable) • Prior working experience with LangGraph