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Sweatcoin is Health and Fitness app available on iOS, Android, and Apple Watch. With the mission to make the world more physically active and its ecosystem revolving around three core activities: Walk, Earn, Spend. Together, it creates a dynamic platform allowing users to motivate themselves to be more active.

Sweatcoin is a team of 18 different nationalities with a head office in London, UK. We work remotely. Our team members are based in the UK, US, Spain, Poland, and Russia.

We have a sustainable business model and financial backing from a number of prominent venture capital investors like Goodwater Capital and Greylock Partners, leading Silicon Valley VCs. 50MM+ installs | 5M+ active users | 500+ commercial partners | 47 countries

Role: Senior Data Analyst

Why Data Science in Sweatcoin is different:

  • Global socially oriented project
  • How to use data to help users be more active - data models are at the heart of all business operations
  • Millions of users and large datasets were collected over the last 5 years of operations, with structured and semi-structured data
  • Small and extremely agile data team working directly with founders and product owners for immediate impact
  • Modern cloud-based software: DWH - Google BigQuery, ETL - Airflow, BI - Looker, ad-hoc research - Jupyter Notebook
  • High data-maturity level: ETL is ready, metrics are tracked, AB-testing is automated, product teams are deeply engaged in analytics - wide variety of tasks, ranging from marketing segmentation and product analysis to ML-model for steps verification

Job responsibilities:

  • Leading research and experimentation within product teams
  • Analytical projects ownership: building full cycle of analytics, from ETL to models, charts, conclusions, and recommendations

Requirements:

  • Solid math/statistical background
  • Python data stack (pandas, numpy, sklearn) + working with scale (spark) + production-ready code (docker, git, airflow)
  • Advanced SQL (window functions, subqueries) - experience in applied machine learning + working with time-series data
  • Confident in spoken and written English (the main language of communication in the team)
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Confirmed 19 hours ago. Posted 30+ days ago.

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