
Data Science Lead
1 week ago
Deloitte's R&D Center in Israel is seeking an exceptional
Data Science Lead
with a PhD in Mathematics, Operations Research, Computer Science, or a related quantitative field. This role is ideal for candidates with a proven track record in formulating and solving complex numerical optimization problems—particularly in mixed integer programming (MIP), linear programming (LP), and related domains.
As a Data Science Lead, you will play a pivotal role in driving innovation for our product and retail optimization teams, overseeing advanced analytics projects, and mentoring 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 (Gurobi, Pyomo, etc.), 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 abreast of 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.
Requitements:
- PhD in Mathematics, Operations Research, Computer Science, or a related quantitative discipline (Master's degree also considered).
- 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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