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For Companies At a Glance
- Tasks: Analyse data and optimise category performance in a dynamic eCommerce environment.
- Company: Join a leading tech platform revolutionising consumer goods and delivery.
- Benefits: Enjoy hybrid work, comprehensive insurance, company shares, and career growth opportunities.
- Why this job: Be part of an entrepreneurial team making impactful decisions in a fast-paced industry.
- Qualifications: 3-6 years in analytics or data science; strong SQL skills and statistical analysis experience required.
- Other info: Opportunity to manage a Data Analyst and collaborate with various teams.
The predicted salary is between 36000 - 60000 £ per year.
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 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 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 Data Scientist – Category Management:
- Ideally having 3-6 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 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
Data Scientist - Category Management employer: Quest Search and Selection
Contact Detail:
Quest Search and Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Category Management
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, and BI platforms like Tableau or Power BI. Having hands-on experience or projects showcasing your skills with these tools can set you apart during the interview process.
✨Tip Number 2
Prepare to discuss your previous experiences in analytics or data science, particularly in areas related to grocery, operations, or consumer products. Be ready to share specific examples of how you've used data to drive decision-making and optimise performance.
✨Tip Number 3
Brush up on your statistical analysis and experiment design knowledge. You may be asked to explain how you would approach designing an experiment to optimise buying policies, so having a clear understanding of these concepts will be beneficial.
✨Tip Number 4
Network with professionals in the eCommerce and data science fields. Engaging with industry groups or attending relevant meetups can provide insights into the role and help you make connections that could lead to referrals or recommendations.
We think you need these skills to ace Data Scientist - Category Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics or data science, particularly in areas like grocery, operations, or consumer products. Emphasise any experience with statistical analysis, machine learning models, and SQL proficiency.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that align with the responsibilities of the Data Scientist - Category Management position, such as developing decision support systems or collaborating with teams.
Showcase Technical Skills: Clearly outline your technical skills in your application. Highlight your proficiency in SQL, Python, R, and any BI platforms you have experience with, such as Looker or Tableau. Providing examples of how you've used these skills in past roles can strengthen your application.
Prepare for Potential Assessments: Be ready for potential assessments or technical interviews that may test your analytical skills and problem-solving abilities. Brush up on statistical analysis and experiment design concepts, as well as any relevant tools and technologies mentioned in the job description.
How to prepare for a job interview at Quest Search and Selection
✨Showcase Your Analytical Skills
As a Data Scientist, you'll need to demonstrate your analytical prowess. Be prepared to discuss specific projects where you've used statistical analysis or machine learning techniques. Highlight how your insights led to tangible improvements in decision-making or performance.
✨Familiarise Yourself with the Company’s Products
Since the company operates in the eCommerce space for consumer goods, it’s crucial to understand their product range and market. Research their offerings and think about how data science can optimise category management within their specific context.
✨Prepare for Technical Questions
Expect technical questions related to SQL, Python, or R, as well as your experience with BI tools like Tableau or Power BI. Brush up on your coding skills and be ready to solve problems on the spot, showcasing your ability to work with large datasets.
✨Demonstrate Collaboration Skills
This role involves working closely with various teams, so be ready to discuss your experience in collaborative environments. Share examples of how you’ve successfully partnered with others to drive projects forward, particularly in category management or inventory optimisation.
