Data Scientist

Jobright is your personal AI job search agent that transforms the job search process into a fast, expert-guided journey. They are seeking a Data Scientist to build and scale business-facing AI agents, managing the entire lifecycle from prototype to production. Why Join Us Your models will power AI agents used by real people navigating real career decisions High degree of ownership over both research direction and production outcomes Sit at the crossroads of applied ML, generative AI, and consumer product Shape the data-driven intelligence behind a new kind of job search experience Responsibilities Build and deploy predictive models and machine learning algorithms that form the analytical backbone of our production AI agents Run structured experiments on LLM prompting strategies, fine-tuning approaches, and RAG pipeline configurations to drive measurable improvements in agent quality Conduct in-depth statistical analysis of user interaction data to surface behavioral patterns that inform feature development and product strategy Track model health in production and provide hands-on technical support through key iteration and release cycles Qualifications Required Recent grad or early-career professional (0–2 years) with a degree in Data Science, Computer Science, Statistics, or another quantitative discipline Strong Python fundamentals and working proficiency with ML libraries such as PyTorch, TensorFlow, or Scikit-learn Solid understanding of LLM architectures, prompt engineering principles, and generative AI evaluation techniques Clear, confident communicator - able to walk both technical and non-technical collaborators through complex modeling decisions and findings Must be based in and authorized to work in the United States Preferred Prior internship or research experience in NLP, autonomous agent development, or recommendation systems Hands-on experience building data pipelines and working within cloud environments such as AWS, GCP, or Azure Proficiency in SQL and database querying for efficient data extraction and feature engineering workflows