Data Scientist, Applied AI — New Grad
Offre en anglaisDevelop and evaluate AI models for search, recommendations, matching, and natural-language experiences. Partner with engineers to productionize successful approaches and analyze model quality and bias.
- Sur place
- Canada
- Publié 17 août 2026
- 1 poste
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Résumé du poste
Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. As a New Grad Data Scientist focused on Applied AI, you will develop and evaluate models for search, recommendations, matching, and natural-language experiences. Why Join Us • Build real, production AI agents used by real users • High ownership and impact • Work at the intersection of AI, agents, and product • Shape how people experience AI-driven job search Responsibilities • Develop models for ranking, recommendations, matching, and NLP • Prepare datasets and engineer useful features • Design offline and online model evaluations • Analyze model quality, bias, and failure patterns • Build prototypes and communicate findings • Partner with engineers to productionize successful approaches Qualification Required • Recent graduate in Machine Learning, Computer Science, Statistics, Mathematics, or a related field • Strong Python programming skills • Understanding of machine learning, statistics, and model evaluation • Familiarity with pandas, scikit-learn, or similar tools • Strong analytical and communication skills Preferred • Experience with PyTorch, TensorFlow, or deep learning • Familiarity with NLP, search, ranking, or recommendation systems • Experience with LLMs, embeddings, or retrieval • Previous research, internship, or applied ML project
Ce que vous ferez
Develop and evaluate AI models for search, recommendations, matching, and natural-language experiences. Partner with engineers to productionize successful approaches and analyze model quality and bias.
Exigences
Requires a recent graduate in Machine Learning, Computer Science, Statistics, Mathematics, or a related field with strong Python skills. Proficiency in machine learning, statistics, and tools like pandas and scikit-learn is essential.
Compétences indiquées
- Apprentissage automatiqueSouhaitée
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Python
- Machine Learning
- Statistics
- Model Evaluation
- Pandas
- Scikit-learn
- PyTorch
- TensorFlow
- Deep Learning
- Natural Language Processing
- Search Ranking
- Recommendation Systems
- Large Language Models
- Embeddings
- Retrieval
- Analytical Skills
Domaines d’emploi
- Data & Analytics
- Technology
- Software
- Engineering
- Science & Research
Renseignements supplémentaires
- Formation minimale
- Baccalauréat
- Expérience minimale
- 0+ ans
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Entry level