Data Scientist Deep Learning Forecasting

Data Scientist - Deep Learning Forecasting Department Data Science Type Full-time Level Location Tel Aviv About The Position Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries. We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities. This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact. Responsibilities • Develop and implement state-of-the-art econometric and machine learning models for demand forecasting. • Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability. • Collaborate with cross-functional teams (including product, data engineering, and backend) to deploy ML systems in production. • Mentor junior team members and promote best practices across modeling, experimentation, and code quality. • Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives. About The Position You’ll be a great fit if you have... • 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, SQL). • Expertise in time-series forecasting, ideally Deep Learning based, preferably in demand prediction or related areas. • Domain expertise in revenue management related pipelines, domains, problems. • Feature engineering, feature importance testing, per sample explainability based experience. • Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering or a relevant field. • Publications in top-tier, peer-reviewed ML/AI venues (e.g. ICLR, ICML, NIPS, etc.) • Solid understanding of ML production workflows (versioning, testing, reproducibility, and deployment). • Excellent communication and collaboration skills. Nice to have • Experience applying ML in domains like finance, trading, reinforcement learning, or NLP. • Familiarity with cloud based solutions on GCP platform (e.g., Vertex AI, PubSub, Cloud Run Functions). • Strong data visualization and exploratory data analysis skills. • Familiarity with code optimization, containerization (e.g., Docker), CI/CD, or cloud-native architectures. • Participation in competitive programming or data science challenges (e.g., Kaggle). If you're excited about building impactful AI systems in a high-growth startup environment, and want to help redefine how industries price, forecast, and optimize, we’d love to hear from you.