Data Scientist - Deep Learning 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 transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy 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 leveraging modeling into business outcomes.
- Proficiency in Python and its ML/data stack (e.g., PyTorch or TensorFlow, Pandas, NumPy, Scikit-learn).
- Expertise in time-series forecasting, ideally Deep Learning based, preferably in demand prediction or related areas.
- Feature engineering, feature importance testing, explainability based experience.
- Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering or a relevant field.
- Solid understanding of ML production workflows (versioning, testing, reproducibility, and deployment).
- Excellent communication and collaboration skills.
- Publications in top-tier, peer-reviewed ML/AI venues (e.g. ICLR, ICML, NIPS, etc.) (advantage)
- Experience applying ML in domains like finance, trading, revenue management etc. (advantage)
- Familiarity with cloud based solutions on GCP platform (e.g., Vertex AI, PubSub, Cloud Run Functions). (advantage)
- Strong data visualization and exploratory data analysis skills. (advantage)
- Familiarity with code optimization, containerization (e.g., Docker), CI/CD, or cloud-native architectures. (advantage)