Data Scientist - Time Series Forecasting
כדי להגיש, לשמור או לפתוח את דף המשרה מתחברים עם Google. זה חינם, ואחרי ההתחברות חוזרים ישר למשרה הזו.
תקציר
Fetcherr builds responsible AI that turns market complexity into measurable profit growth. At its core is the Market Model, a proprietary AI model that delivers granular demand predictions and real-time decision intelligence for commercial teams.
דרישות
- 5+ years of hands-on experience in data science and machine learning, with a proven record of turning models into business outcomes.
- Proven experience taking models through the full lifecycle into production: versioning, testing, reproducibility, deployment, monitoring and retraining.
- Expertise in time-series forecasting, ideally deep-learning based, preferably in demand prediction or related areas.
- Feature engineering, feature importance testing and explainability experience.
- Proficiency in Python and its ML and data stack (PyTorch or TensorFlow, Pandas or Polars, NumPy, Scikit-learn, SQL).
- Hands-on use of AI coding agents (such as Claude Code or GitHub Copilot) in your daily development, and a strong view on where they help and where they don't.
- Master's or PhD in Computer Science, Machine Learning, Statistics, Engineering or a related field.
- Excellent communication and collaboration skills.
- Experience with pricing, revenue management, retail or B2B distribution. (advantage)
- Experience with experimentation and causal measurement (A/B testing, uplift). (advantage)
- Experience with cloud ML platforms (Azure ML or Microsoft Fabric preferred; GCP or AWS also relevant).
- Familiarity with workflow orchestration in general (any modern orchestrator). (advantage)