About the job
We’re looking for an experienced Data Scientist to join our London team.
Working closely with our Director, Product Manager, and Product Owner, you’ll be analyzing data to understand our customers, how and why they interact with our services, and how these interactions impact growth, customer satisfaction, and retention.
Based on your findings, you’ll be making product change and improvement recommendations.
About the company
Judge.me is a global e-commerce app company. We’re bootstrapped, profitable, and growing fast.
Our flagship app, Judge.me Product Reviews, is ranked first in Shopify's App Store, with over 15,000 five-star reviews. We’ve grown rapidly since our founding purely by word of mouth. We’ve never invested in any paid marketing.
Our team of more than 50 is international, diverse, and spread across London, UK (our headquarters); Saigon, Vietnam; Casablanca, Morocco; and Lima, Peru.
We make a global impact, with over 250k shops actively using our software in more than 140 countries. We fulfill over 60 million orders every month and generate over 1 million verified buyer reviews per month.
Analyze our customers' interactions with our apps and platform.
Collect, manage, and interpret qualitative and quantitative data and consolidate the information into actionable insights, reports, and presentations.
Partner closely with product, technical, and other business leaders to influence product decisions with data.
Conduct ad-hoc data analysis based on requests from various heads of departments, as required.
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical colleagues.
Data-driven with strong analytical skills and the ability to use quantitative and qualitative data to present options and demonstrate value, see patterns and trends, and anticipate customer requirements.
Experience with databases, querying data, and data structure manipulation.
Ability to critically analyze given data, ask probing questions, and perform your own research.
Self-management and self-motivation.
Strong communication and presentation skills and the ability to build strong partnerships with teams across a wide range of functions and levels, especially with senior management and technical teams.
Ability in Python and SQL for data manipulation, modeling, and scripting.
Great English, both verbal and written.
Why it’s awesome to work with us:
We’re a diverse, international, and close-knit team that is growing rapidly.
We make products that our customers love.
We champion an open culture of continuous improvement, where everyone is heard and criticism is always constructive.
Our hours are flexible. There’s no overtime and no dress code. You can wear whatever you want (but wear something, of course).
We offer great development and learning opportunities.
Healthy codebase and architecture. Few WTF moments when onboarding.
Thorough and constructive code review. We will push ourselves forward and learn to write better code together.
Challenging yet interesting problems we are trying to solve
Business: We deliver real business results to e-commerce businesses of all sizes, with our super affordable tool delivering great ROI to customers by improving trust, generating reviews that improve conversion rates on product pages, and generating follow-up sales directly.
Performance: at our scale, with tens of millions of requests a day, a simple change can make a significant impact.
Reliability: We serve over 240,000 stores and generate over 1 million verified buyer reviews monthly, in virtually all of the timezones, 24/7, all year around.
Security: To verify the authenticity of reviews, we have access to orders with billions of USD in value every month. With great data, comes great security responsibility.
Optional hybrid remote/office working, you spend 2 days per week in the office.
Private health package with Vitality.
Employee discounts: instant vouchers, cashback, reloadable cards, and the SmartSpending app.
Employee Wellbeing Center: exercise videos, recipes and nutrition, financial guides and tools, and mindfulness videos.
30 days leave including bank holidays; you accrue 2.5 annual leave days per month.
Weekly team lunches out, on us.
Quarterly team events.
Office in London, UK
Located in Old Street in the heart of Shoreditch, easily accessible, with excellent transport links.
How to apply
We prefer candidates who send a cover letter with some information about why they’re interested in this position. Please also include your Linkedin profile URL, if you have existing rights to work in the UK and/or if you will need assistance with visa sponsorship or relocation.