סקירה כללית
Data Scientist
– Deep Learning Based Demand Forecasting Fetcherr experts in deep learning, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions. We are seeking a talented and self-driven Data Scientist to help advance our machine learning capabilities. The ideal candidate is a motivated, independent thinker with a passion for using machine learning and data to drive 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. Requirements: You’ll be a great fit if you have: * 3+ years of hands-on experience in data science and machine learning. * Proven experience developing and deploying production-grade machine learning models. * Degree in Computer Science, Machine Learning, Statistics, or related field. * Expertise in time-series forecasting, preferably in demand prediction or related areas. * Proficiency in Python and its ML/data stack (e.g., PyTorch or TensorFlow, Pandas, NumPy, Scikit-learn). * Solid understanding of ML production workflows (versioning, testing, reproducibility, and deployment). * Excellent communication and collaboration skills. * Strong data visualization and exploratory data analysis skills. * Background in code optimization, containerization (e.g., Docker), CI/CD, or cloud-native architectures. Nice to have: * Master’s or PhD in Computer Science, Machine Learning, Statistics, or a related field. * Publication(s) in a top-tier, peer-reviewed ML/AI venue (e.g., NeurIPS, ICML, ICLR, AAAI). * Experience applying ML in domains like finance, trading, reinforcement learning, or NLP. * Familiarity with MLOps tooling and cloud platforms (e.g., GCP, AWS). * Experience with workflow orchestration tools like Apache Airflow or Dagster. * 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.
דרישות המשרה
* 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. Requirements: You’ll be a great fit if you ha
