Salary Competitive

As part of our Data Scientist team, you’ll build, maintain and extend data science products to support different areas of our business. Working as part of the wider Data Science team, we’ll look to you to assess ideas and opportunities – share your insights to the rest of the business.  You’re someone who can communicate complex technical concepts to a range of people across our global business (some who are very technical, others who are less so) and who brings an excellent understanding of modern data science techniques.

Your Focus

  • Working with stakeholders across the business to understand KPIs and deliver actionable insights and proposals for data-driven decision making.

  • Performing analyses on large sets of data to extract actionable insights on user behaviour that will help drive product and design decisions.

  • Performing time series analysis to deliver mid and long-term forecasting of business relevant figures (sales, service calls etc.)

  • Creating ML or statistical models that allow to Improve conversion, customer retention and/or customer satisfaction.

  • Bringing the ML models from design to production, Impacting the day-to-day performance of the business and steering accordingly.

  • Analysing our customer and operational database along with other data sets to provide commercial insight for our diverse teams.

  • Provide regular, ad-hoc and project-based support on the use of our analytical tools.

What Leads to Success

Here are a few of the skills we are looking for in this position. Don’t worry if you don’t tick every box as it’s important for us to support you in your role and help you to develop along the way.

  • Data science is your heart and soul. You're not led astray by your ideas or the ideas of your teammates - you’re grounded in logic, maths and statistics.

  • You value diversity and are sensitive to different environments and cultures.

  • You make change happen by working well with others, building rapport with ease and integrity.

  • You have honed your interpersonal skills and are confident when working closely with non-technical stakeholders

  • You're curious. You want to know more about our industry and how your work adds commercial value to our company.

What's Important

  • You've likely worked as a Data Scientist before, with hands-on experience of statistical data analysis, data visualisation and business storytelling.

  • You bring demonstrable experience designing, building, testing and maintaining ML models to solve business problems

  • Proficient programming skills and data wrangling, using Python.

  • You are familiar with how models are deployed in production environments.

  • You have worked with a Cloud DB provider: GCP, Amazon Redshift, Snowflake, Mongo, Azure.

  • You’re happy working with Agile or Kanban methodologies.

Perks and benefits

This job comes with several perks and benefits

Flexible working hours
Flexible working hours

Time is precious. Make it count. Morning person or night owl, this job is for you.

Free coffee / tea
Free coffee / tea

Get your caffeine fix to get you started and keep you going.

Near public transit
Near public transit

Easy access and treehugger friendly workplace.

Social gatherings
Social gatherings

Social gatherings and games; hang out with your colleagues.

Skill development
Skill development

We want to take you from good to great.

Work life balance
Work life balance

Carve out time for your kids, friends and personal cider projects.

See all 8 benefits

Working at is an online personal service developing data-driven shared closets across Europe. Our mission is for everyone to adopt a new way to access and consume clothes.  We work in collaboration with second-hand marketplaces, brands and e-commerce platforms and exclusively use overstocks and second-hand clothes to build our closets. Through the quick activation of the clothes and the use of technology, we neutralise the environmental impact of clothes that were unused or under-utilised. Our customers create a style profile and share data on their style preferences. Every month our team of stylist uses their own expertise and technology to pick clothes for their customers. After 4 weeks the clothes are returned to us, washed and send to a new customer. is a project that started in June 2019. The team advocates for new consumption behaviours and the innovation of our industry. We are recruiting in many fields such as logistics, engineering, textile, customer support, and fashion.

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