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Lead Data Scientist-Category Management

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London

Hybrid

GBP 45,000 - 75,000

Full time

13 days ago

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Job summary

An innovative tech eCommerce platform is seeking a Lead Data Scientist for Category Management. This role involves developing decision support systems and analyzing large datasets to optimize category performance. You will work closely with the In-Stock Merchandising team, manage a Data Analyst, and drive insights that influence product buying and inventory management. With a focus on statistical analysis and experiment design, you will play a crucial role in enhancing the Stock Ordering Tool and ensuring optimal availability and expirations. This is a fantastic opportunity to join a dynamic team and contribute to an entrepreneurial environment.

Benefits

Comprehensive medical and dental insurance
Company Shares / RSU
Annual bonus
Employee discount
Career growth opportunities
Annual performance appraisal and bonus

Qualifications

  • 4-6 years of experience in analytics or data science, ideally in consumer products.
  • Strong understanding of statistical analysis and experiment design.

Responsibilities

  • Collaborate with teams to enhance Stock Ordering Tool and refine buying policies.
  • Conduct analyses to address challenges and propose future experiments.

Skills

Statistical Analysis
Experiment Design
Data Analysis
SQL
Python
R

Education

Bachelor's in Mathematics
Bachelor's in Statistics

Tools

Looker
Tableau
Power BI
dbt

Job description

Job Description

Quest Search & Selection are currently partnering with a leading tech eCommerce platform specialised in consumer goods and delivery. This business offers an extensive range of products including household essentials, medication, office supplies, groceries, and even fresh prepared food!

The Lead Data Scientist - Category Management will develop decision support systems, analyse large datasets, and share insights to optimise category performance. You will collaborate with the In-Stock Merchandising team and manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management.

Key responsibilities of this Lead Data Scientist – Category Management:
  • Partner with the Data Team to measure and report on availability levels and their impact on revenue and order volumes.
  • Collaborate with the Category and In-Stock Management teams to enhance the Stock Ordering Tool and refine buying policies.
  • Deliver clear insights into the performance and value of buying policies integrated into the Stock Ordering Tool.
  • Ensure wastage target levels for expirations and availability are achieved.
  • Design and evaluate experiments to optimise buying policies within Stock Ordering.
  • Establish dynamic targets for availability and expirations across subcategories.
  • Conduct in-depth analyses and post-implementation reviews to address challenges, uncover opportunities, and propose future experiments related to availability and expirations reporting.
Key requirements of Lead Data Scientist – Category Management:
  • Ideally having 4-6 years of experience in analytics or data science, preferably in grocery, operations, marketing, or consumer products.
  • Open to experience in Investment Banking as Senior Associate or VP level.
  • Strong understanding of statistical analysis and experiment design.
  • Ideally a bachelor’s degree or similar in Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential.
  • Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets.
  • Experience with dbt, Python, or R is a plus.
  • Development experience with BI platforms such as Looker, Tableau, or Power BI.
Benefits included for Lead Data Scientist – Category Management:
  • Comprehensive medical and dental insurance.
  • Company Shares / RSU.
  • Annual bonus.
  • Hybrid role – 3 days in office.
  • Employee discount.
  • Career growth opportunities.
  • Annual performance appraisal and bonus.

This is a great opportunity if you have the right skill sets to be part of an entrepreneurial team. If this role is of interest, please do apply quoting the reference no. JO-2501-114981.

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