
Data Scientist
6 days ago
Deloitte's R&D Center in Israel is seeking an exceptional Data Scientist with a PhD (or Master's) in Mathematics, Operations Research, Computer Science, or a related quantitative field. This is a strategic position for candidates with a proven track record in formulating and solving complex numerical optimization problems, especially in mixed integer programming (MIP), linear programming (LP), and related domains. The Data Science Lead will drive innovation for product and retail optimization teams, oversee advanced analytics projects, and mentor junior data scientists.
Key Responsibilities:
Strategic Leadership
- Oversee Data Science Initiatives: Lead the data science team's workstreams, ensuring alignment with business objectives and technical excellence.
- Execution Leadership: Direct optimization-focused teams, guiding solution design and delivery for asset, product, and placement optimization projects (e.g., planogram optimization, assortment and allocation optimization, whitespace/category optimization).
Technical Excellence
- Problem Formulation: Collaborate with stakeholders to translate business challenges into mathematical optimization problems.
- Solver Implementation: Develop complex optimization models using solver constraint languages (e.g., Gurobi, Pyomo), ensuring robust, scalable, and maintainable code.
- Python Development: Build and maintain backend code integrating optimization solvers, leveraging Python for data manipulation, model orchestration, and automation.
- Framework Expertise: Apply best practices in numerical optimization, utilizing industry-standard frameworks and libraries.
Innovation & Thought Leadership
- Recommender Systems: Contribute to the design and implementation of recommender systems and other advanced analytics solutions as needed.
- Research & Development: Stay current with emerging trends in optimization, machine learning, and retail analytics, and champion their adoption within the team.
Collaboration & Mentorship
- Team Development: Mentor junior data scientists, fostering a culture of continuous learning and technical rigor.
- Cross-Functional Collaboration: Work closely with product managers, engineers, and business stakeholders to deliver impactful solutions.
- PhD (or Master's) in Mathematics, Operations Research, Computer Science, or a related quantitative discipline.
- Deep expertise in formulating and solving numerical optimization problems (MIP, LP, etc.).
- Hands-on experience with optimization frameworks such as Gurobi, Pyomo, CPLEX, or similar.
- Proficiency in Python for backend integration and model development.
- Proven ability to translate business problems into mathematical models and implement end-to-end optimization solutions.
- Excellent communication and stakeholder management skills.
Preferred Qualifications
- Experience in retail analytics: planogram optimization, assortment optimization, allocation optimization, whitespace/category optimization.
- Familiarity with recommender systems and related machine learning techniques.
- Prior leadership experience in data science or optimization teams.
- Experience working in a global, cross-functional environment.
Full time Job
Location: Tel Aviv, Hybrid
We at Deloitte believe that diversity and inclusion among our people is a critical component of our success and that is why we cultivate an organizational culture that contains and embraces diversity in all its forms.
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