Data Scientist, Early Career (Canada)
Canada, Kentucky, United States • Vollzeit
Bewerben Sie sich als Erste/r!
- Erfahrung
- Bis zu 2 Jahre
- Gehalt
- —
- Stellenangebote
- 1
- Veröffentlicht
- vor 3 Wochen
- Arbeitsmodus
- Im Büro
- Ausbildung
- Data Science, Computer Science, Statistics, or a related quantitative field
- Teilnahmeberechtigung
- Recent graduates and entry-level professionals with 0 to 2 years of experience in a quantitative field such as Data Science, Computer Science, or Statistics. Candidates should be able to work onsite in Canada.
- Wieder aufnehmen
- Bewerbung erforderlich
Wo Sie arbeiten werden
Stellenbeschreibung
About the role
Jobright is a fast-scaling AI-powered job search platform in the U.S. They are hiring an Early Career Data Scientist to help strengthen their production AI agents, improve model quality, and use user behavior data to inform product decisions.
Why join
- Contribute to AI agents that are already being used by real customers.
- Take on meaningful ownership with visible business impact.
- Work where AI, agent systems, and product development overlap.
- Help define how users experience AI-assisted job search.
Key responsibilities
- Design, train, and ship predictive models and machine learning systems that support the core decision logic of production AI agents.
- Test and refine large language model prompts, fine-tuning methods, and retrieval-augmented generation workflows to raise agent quality and dependability.
- Analyze user interaction data in depth to uncover patterns that can guide product enhancements and new feature ideas.
- Track model behavior and performance, and provide technical support during important product iteration phases.
Requirements
- Recent graduate or early-career professional with 0 to 2 years of experience in Data Science, Computer Science, Statistics, or another quantitative discipline.
- Strong Python programming ability and working knowledge of machine learning tools such as PyTorch, TensorFlow, or Scikit-learn.
- Hands-on understanding of LLMs, prompt design, and how to assess generative AI outputs.
- Clear communication skills, with the ability to explain technical approaches and model results to cross-functional teammates.
- Preferred background includes internship or research work in NLP, autonomous agents, or recommender systems.
- Preferred experience with data pipelines and cloud platforms such as AWS, GCP, or Azure.
- Preferred technical strength in SQL and database management for data retrieval and feature engineering.
Additional information
This opportunity is for candidates located in Canada and is a full-time onsite position. The role focuses on applied machine learning, LLM experimentation, and analytics in a production environment.