What we do and who we are?
We are the leading crypto lender that has built its reputation in the blockchain world with its signature Instant Crypto Credit LinesTM and Earn Interest product. Nexo has processed more than $30B+ for a continually growing 2.5M+ user base from more than 200+ jurisdictions around the globe.
We live and breathe solving complex problems for our base and we have the customer reviews to show for. We’ve zeroed in on solving real issues for our users and found a great product market fit. The result is a profitable business from Day 1 that has distributed close to $30M in dividends until now.
We are on a mission to build the next generation of infrastructure that will enable millions of people to ditch the traditional banking rails and move to a world of financial freedom and great UX. Nexo’s team consists of builders and problem solvers that sacrifice short term profits for the benefits of its users.
Nexo’s team is regularly featured on Bloomberg and CNBC to comment on pressing blockchain issues such as the Tether stablecoin, Facebook’s Libra, Tokenized Gold, and Bitcoin.
What we look for?
Data is at the heart of our business and we have a lot of data. We drive business decisions based on data and we are now growing a top class business intelligence team to support the key decision making processes at Nexo.
We are looking for a senior data scientist with experience in data modelling, customer segmentation, customer journey optimization, and predictive analytics.
Responsibilities:
- Collaborate with data analysts & stakeholders to understand in-depth the business requirements, design expected outcomes and user stories
- Gather, integrate, and clean up data from various Nexo-based and external sources
- Implement statistical and/or machine learning models to drive actionable insights
- Automate existing models to run on a daily, weekly, monthly basis
- Monitor and improve data and model quality
- Visualize model results, integrate with Tableau dashboards & extract business insights
Requirements:
- 3+ years experience as Data Scientist
- Theoretical knowledge of common statistical and machine learning algorithms - e.g. predictive, clustering, classification, optimization algorithms
- Proven ability for practical application of such models to solve business problems - e.g. forecasting, customer segmentation, customer engagement, driver impact analysis
- Experience in exploring, integrating, and modelling massive data sets (100+ million of rows with dozens of variables)
- Proficiency in SQL, Python, PySpark
- Reporting and Data Visualization skills will be considered a plus
- Working experience with AWS solutions will be considered a plus
- Working experience with APIs will be considered a plus
- Experience in finance, banking and/or crypto will be considered a plus
