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For Companies At a Glance
- Tasks: Dive into A/B testing, product analytics, and data storytelling to shape product strategy.
- Company: Join a fast-growing e-commerce brand making waves in the UK market.
- Benefits: Enjoy a competitive salary, hybrid work options, and exciting corporate perks.
- Why this job: Be part of a dynamic team that values innovation and impact in the e-com space.
- Qualifications: Seeking a data scientist or analyst with e-com experience and skills in Python, SQL, and Snowflake.
- Other info: The interview process consists of three stages, ensuring a thorough selection.
The predicted salary is between 43200 - 72000 £ per year.
Join one of the UK's fastest growing e-com brands as they continue the growth of their exceptional Data team!
Salary: up to £60,000 + benefits
Location: Hybrid, London HQ
Interview process: 3 stages
Reporting to: Data Science Lead
Company size: ~200
Working on: A/B testing, product analytics, data storytelling, and overall product strategy in the e-com domain!
We're looking for:
- A bright data scientist or analyst with good exposure to product, ideally in an e-com domain
- Experience with A/B testing, experimentation & writing hypothesis for product stakeholders
- Python, SQL, Snowflake etc.
Interested? Apply!
Product Data Scientist employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Scientist
✨Tip Number 1
Familiarise yourself with A/B testing methodologies and be prepared to discuss your experiences in this area. Think of specific examples where you've successfully implemented experiments and how they impacted product decisions.
✨Tip Number 2
Brush up on your Python and SQL skills, as these are crucial for the role. Consider working on a small project or two that showcases your ability to manipulate data and derive insights, which you can mention during the interview.
✨Tip Number 3
Understand the e-commerce landscape and be ready to discuss current trends and challenges. This will demonstrate your passion for the industry and your ability to contribute to the company's product strategy.
✨Tip Number 4
Prepare to articulate your data storytelling skills. Think about how you can present complex data in a way that is accessible and actionable for product stakeholders, as this is key to influencing product strategy.
We think you need these skills to ace Product Data Scientist
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of a Product Data Scientist. Highlight your experience in A/B testing, product analytics, and data storytelling in your application.
Tailor Your CV: Make sure your CV reflects relevant skills and experiences related to the e-com domain. Emphasise your proficiency in Python, SQL, and any experience with Snowflake.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background aligns with the company's goals. Mention specific projects or achievements that demonstrate your expertise in experimentation and hypothesis writing.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise.
How to prepare for a job interview at Cognify Search
✨Showcase Your A/B Testing Knowledge
Be prepared to discuss your experience with A/B testing in detail. Share specific examples of experiments you've conducted, the hypotheses you formulated, and the outcomes. This will demonstrate your practical understanding of experimentation in a product context.
✨Demonstrate Data Storytelling Skills
During the interview, focus on how you can translate complex data findings into actionable insights. Prepare to explain how you've used data storytelling to influence product decisions in the past, as this is crucial for the role.
✨Familiarise Yourself with Relevant Tools
Make sure you're comfortable discussing Python, SQL, and Snowflake. Brush up on your technical skills and be ready to answer questions or even solve problems using these tools during the interview.
✨Understand the E-commerce Landscape
Research the e-commerce industry and the specific company you're interviewing with. Be ready to discuss current trends, challenges, and opportunities in the sector, as this will show your genuine interest and understanding of the field.
