Staff Data Scientist
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Jul 12, 2026. Toast scores B on the Alion truth index.
Join our team as a Staff Data Scientist, where you will lead the design and development of scalable machine learning systems. You will own the full machine learning lifecycle, collaborate with cross-functional teams, and mentor other data scientists. Your work will directly impact strategic decisions and enhance customer experience at scale. Enjoy benefits such as unlimited vacation, professional development reimbursement, and comprehensive health coverage.
Missions
- Concevoir et développer des systèmes d'apprentissage automatique évolutifs pour des cas d'utilisation tels que la recommandation de menus, la prévision de la demande, le ciblage des offres et la personnalisation des invités.
- Servir de partenaire technique auprès des équipes, établir des pratiques exemplaires et influencer la feuille de route des produits axés sur l'apprentissage automatique.
- Posséder l'ensemble du cycle de vie de l'apprentissage automatique, de la définition du problème à l'exploration des données, en passant par la modélisation, le déploiement et la surveillance.
Profil recherché
- Prior experience mentoring other data scientists or acting as a tech lead- Strong business acumen with the ability to align technical solutions with company goals
- Strong grasp of software engineering principles including modular design, version control, testing, and CI/CD
- Experience with distributed data processing and training, real-time inference, and ML Ops frameworks
- Experience building services on top of LLMs in a large scale production environment
- Hands-on experience with cloud platforms (preferably AWS), including tools like SageMaker, Athena, Glue, DynamoDB, and Bedrock
- Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, deep learning), and model evaluation
- 7+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact
- Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow)
- Experience working with real-world product data at scale and translating ambiguous problems into well-scoped ML solutions
- Experience leading experimentation (e.g., A/B testing), causal inference, and real-time decision systems
- Excellent communication skills and the ability to influence both technical and non-technical stakeholders
- An advanced degree in Computer Science, Statistics, or a related STEM field is preferred
- Experience fine-tuning LLMs and applying reinforcement learning from human feedback (RLHF) to improve model performance and alignment
- Familiarity with MLOps tooling for monitoring, drift detection, retraining, and explainability