Senior Data Scientist

Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors.

But technology alone doesn’t drive progress. People do.

We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics.

We shape industry trends. We rethink how wealth works and build solutions that reflect that belief.

That requires a certain kind of person.

You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving.

This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo.

Official website: nexo.com

• 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.
• Experience with NLP techniques, analyzing and classifying large amounts of text data will be considered a plus.