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Open nowFirst seen 28 hours ago

Lead Data Scientist- R&D and Innovation Center

deloitte/f7.00b72 open roles

Where
Tel-Aviv
Work mode
On site
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Your applicationOpen nowLead Data Scientist- R&D and Innovation Centerdeloitte/f7.00b · Tel-Aviv

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. deloitte/f7.00b postings stay open a median of 11 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: first seen 28 hours ago

deloitte/f7.00b median: 11 days open

The posting

Deloitte’s R&D Center in Israel is seeking an exceptional Data Science Lead.

PhD or other advanced degree in Computer Science, Data Science, Statistics, Mathematics, Machine Learning, 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.

Requirements

  • PhD or other advanced degree in Computer Science, Data Science, Statistics, Mathematics, Machine Learning, or a related quantitative field.
  • 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.
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