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Senior Data Scientist – Deep Learning Forecasting
·Israel
On-siteFull-timeBusiness IntelligenceEnterprise Software
Experienced Data Scientist sought to develop advanced econometric and machine learning models for demand forecasting and deliver production-ready AI systems with measurable business impact.
Responsibilities
- Develop and implement advanced econometric and machine learning models for demand forecasting.
- Research and test new approaches to improve model accuracy, robustness, and scalability.
- Collaborate with product, data engineering, MLOps, and platform teams to deploy machine learning systems in production.
- Communicate complex technical findings to product leaders, executives, and other non-technical stakeholders.
Requirements
- At least 5 years of hands-on experience in data science and machine learning.
- Proficiency in Python and machine learning and data tools such as PyTorch or TensorFlow, Pandas, NumPy, and scikit-learn.
- Expertise in time-series forecasting, preferably using deep learning for demand prediction or related problems.
- Experience with feature engineering, feature-importance testing, and model explainability.
- Master’s or PhD in computer science, machine learning, statistics, engineering, or a related field.
- Solid understanding of production machine learning workflows, including versioning, testing, reproducibility, and deployment.
- Strong communication and collaboration skills.
Nice to have
- Publications in leading peer-reviewed machine learning or artificial intelligence venues.
- Experience applying machine learning to finance, trading, revenue management, or related fields.
- Familiarity with GCP services such as Vertex AI, Pub/Sub, and Cloud Run Functions.
- Strong data visualization and exploratory data analysis skills.
- Experience with code optimization, Docker, CI/CD, or cloud-native architectures.
- Participation in competitive programming or data science competitions such as Kaggle.