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Lead Data Scientist-Category Management

The Pacer

London

Hybrid

GBP 100,000 - 125,000

Full time

30+ days ago

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Job summary

Join a leading tech eCommerce platform as a Lead Data Scientist in Category Management. This role involves developing decision support systems, analyzing large datasets, and collaborating with various teams to optimize category performance. You'll drive insights that enhance buying policies and inventory management while working in a dynamic, entrepreneurial environment. With opportunities for career growth and a hybrid work model, this position is perfect for those looking to make a significant impact in a fast-paced industry. If you're passionate about data and eager to contribute to a thriving team, this is the opportunity for you!

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, preferably in consumer products.
  • Strong understanding of statistical analysis and experience with SQL.

Responsibilities

  • Develop decision support systems and analyze large datasets for category performance.
  • Collaborate with teams to enhance Stock Ordering Tool and refine buying policies.

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

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-2501-11498.

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