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Data Scientist

Job Description

Data Scientist – Category Management


About the Role: Quest Search & Selection is partnering with a leading tech eCommerce platform focused on consumer goods and delivery. This business offers a wide range of products, including household essentials, medication, groceries, office supplies, and fresh food.


The Data Scientist – Category Management will analyze large datasets, develop decision support systems, and provide insights to optimize category performance. You will collaborate with the In-Stock Merchandising team and manage a Data Analyst to drive product buying, inventory management, and NPD analysis.


Key Responsibilities:


  • Measure and report on availability levels, their impact on revenue and orders.
  • Collaborate with Category and In-Stock teams to enhance the Stock Ordering Tool and refine buying policies.
  • Provide insights into the performance and value of buying policies within the tool.
  • Ensure targets for wastage, expiration, and availability are met.
  • Design and evaluate experiments to optimize buying policies.
  • Set dynamic availability and expiration targets across subcategories.
  • Conduct analyses and post-implementation reviews to identify opportunities for improvement in availability and expirations.


Key Requirements:


  • 4-6 years of experience in analytics/data science, preferably in grocery, operations, or consumer products.
  • Open to experience in Investment Banking at Senior Associate or VP level.
  • Experience in start-ups/scale-ups is a plus.
  • Strong statistical analysis and experiment design skills.
  • Proficiency in SQL and large dataset querying.
  • Familiarity with dbt, Python, or R is a plus.
  • Experience with BI platforms (Looker, Tableau, Power BI) .
  • Degree in Mathematics, Statistics, or related field is advantageous.


Benefits:


  • Comprehensive medical and dental insurance.
  • Company shares/RSUs.
  • Annual bonus.
  • Hybrid work model (3 days in office).
  • Employee discount.
  • Career growth opportunities.
  • Annual performance appraisal and bonus.

Data Scientist

London, UK
Full time

Published on 04/13/2025

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