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Open Banking and financial info APIs platform for Latam

Data Science Engineer x2

€40k – €50k • 0.05% – 0.1%
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What you will be doing
- Develop, test and productionize predictive algorithms by using state of the art machine learning algorithms and statistical models
- Dig deep into transaction data and help us to refine and improve the transaction classification systems that feeds our Intelligence API
- Be part of a small and autonomous team developing our Intelligence API to provide our customers direct insights into their end-users spending, income, assets and more based on uncategorised data coming from hundreds of sources
- Explore the intricate data we get from our customers and build features that solve their problems

What we are looking for
- 3+ years of experience in a data science related field
- Degree in Computer Science, Math, Telecommunications Engineering, Physics or similar technical background
- Detail-oriented, so others can read and work with your analysis, developments and code
- Work experience programming in Python and R
- Experience with big data technologies (e.g. Scala and Spark) and AWS is desirable
- Willingness to solve challenging problems

Nice to haves
- Fintech past experience
- Experience working with transaction or financial data is a big plus
- You have worked with very large data sets

What we are offering
- Competitive salary depending on past experience
- Stock Options: everyone at Belvo owns company equity. Coming in at around the 10-person count will give you considerable ownership in the business
- Flexible working hours
- Vibrant and fun office in sunny Barcelona, in the middle of 22@ tech district
- Remote / pet friendly
- Discounted gym membership pass
- In addition to standard holidays, you get to take your birthday off. If you’d like to work on your birthday, you can take off any day during your birthday month

About our process
- Intro video call with member of founding team
- Take-home challenge (should take between a few hours and an afternoon)
- Video call to present challenge (45 minutes)
- On-site interview (1 hour) with a couple of members of the team

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