Data Scientist - Deep Learning Forecasting

Location: Netanya, Israel

Company

hirify.global builds responsible AI systems for market modeling, demand prediction, pricing intelligence, and commercial decision-making.

What you will do

• Develop and implement econometric and machine learning models for demand forecasting.
• Research and test novel approaches to improve model accuracy, robustness, and scalability.
• Collaborate with product, data engineering, MLOps, and platform teams to deploy ML systems in production.
• Communicate complex technical findings to product leaders, executives, and other non-technical stakeholders.

Requirements

• 5+ years of hands-on experience in data science and machine learning, with a proven record of applying modeling to business outcomes.
• Proficiency in Python and its machine learning and data stack, including PyTorch or TensorFlow, Pandas, NumPy, and Scikit-learn.
• Expertise in time-series forecasting, ideally using deep learning, preferably for demand prediction or related applications.
• Experience with feature engineering, feature-importance testing, and explainability.
• Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a relevant field.
• Solid understanding of ML production workflows, including versioning, testing, reproducibility, and deployment.
• Excellent communication and collaboration skills.

Nice to have

• Publications in top-tier peer-reviewed ML or AI venues such as ICLR, ICML, or NIPS.
• Experience applying ML in finance, trading, revenue management, or related domains.
• Familiarity with GCP cloud solutions such as Vertex AI, Pub/Sub, and Cloud Run Functions.
• Strong data visualization and exploratory data analysis skills.
• Familiarity with code optimization, Docker-based containerization, CI/CD, or cloud-native architectures.
• Participation in competitive programming or data science challenges such as Kaggle.

Culture & Benefits

• Work in a high-growth startup environment focused on impactful AI systems.
• Contribute to technology that supports pricing, forecasting, and optimization across industries.