Senior Machine Learning and Optimization Scientist
A global sports entertainment and digital media company is hiring a Senior Machine Learning and Optimization Scientist for its core Machine Learning and AI team in Tel Aviv. The role focuses on developing and deploying mathematical optimization and machine learning models for large-scale, low-latê n
Responsabilidades
- Develop mathematical and machine learning models for production systems
- Apply optimization frameworks to complex operational problems
- Build Bayesian optimization and hyperparameter-tuning solutions
- Design propensity-scoring, uplift-modeling, and A/B-testing frameworks
- Develop predictive and prescriptive models for pricing, bidding, and resource allocation
- Architect time-series forecasting models for dynamic decision engines
- Manage the machine learning lifecycle from research and prototyping through deployment, monitoring, and scaling
Requisitos
- At least 5 years of hands-on experience in machine learning engineering or data science roles
- Deep theoretical and practical expertise in convex, constrained, and gradient-based optimization
- Practical experience with Bayesian optimization or algorithmic hyperparameter optimization
- Strong skills in causal inference and experimentation, including propensity scoring, uplift modeling, and experimental design
- Experience applying machine learning and optimization to pricing, real-time bidding, or resource allocation
- Experience developing and evaluating advanced time-series models for real-time decision-making
- Hands-on experience deploying, serving, and monitoring low-latency or streaming machine learning models in production
Se valora
- M.Sc. or Ph.D. in Computer Science, Applied Mathematics, Operations Research, Statistics, or a related quantitative field