Lead Data Scientist-Category Management

ZipRecruiter; London; Hybrid; GBP 60,000 - 85,000; Full time

Job summary

A leading tech eCommerce platform is searching for a Lead Data Scientist specializing in Category Management. This role involves developing decision support systems and optimizing category performance through data analysis. The ideal candidate will have 4-6 years of experience in analytics or data science and proficiency in SQL. Benefits include comprehensive insurance, company shares, and a hybrid working model.

Benefits

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

Qualifications

• 4-6 years of experience in analytics or data science.
• Strong understanding of statistical analysis and experiment design.
• Experience in developing machine learning models.

Responsibilities

• Develop decision support systems and analyze large datasets.
• Collaborate with various teams to optimize category performance.
• Design and evaluate experiments to enhance stock ordering.

Skills

Statistical analysis

Experiment design

Data analysis

SQL

Machine learning

Python

R

BI platforms

Education

Bachelor's degree in Mathematics, Statistics, or related field

Tools

SQL databases

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 collaborating with In-Stock Merchandising team and will 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 refined buying policies.
• Deliver clear insights into the performance and value of buying policies integrated into the Stock Ordering Tool.
• Ensuring 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
• Experience in developing machine learning models using advanced techniques.
• 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