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