Data Scientist

Thanks to our innovative BuyNow PayLater payment solution, Scalapay is transforming the way more than 2 million customers buy online and in-store, empowering 5,000+ merchants to give their customers magical shopping experiences. 

 

Being only 3 years old didn’t stop us from becoming a unicorn We have raised over $700mln and we did this thanks to a team built around our 4 core values: #createmagic #staycurious #beimpactful #playasateam. 

 

This is where your magic happens. If you love it, Scalapay it

 

Scalapay is revolutionizing the way people shop and pay both online and in-store. Our mission is to create innovative payment solutions that provide magical experiences for customers while delivering exceptional value and revenue to our merchants.

 

There could not be a more exciting time to join our Data & Risk team as we lead the BNPL space in Europe, partnering with the Fashion and Beauty sectors of the market.

 

- Algorithms and data are the centres of our efforts to automate processes and support decisions across the business. 

- As a Data Scientist, your role will focus on building algorithms, as well as advising and mentoring the Data and Risk areas as we grow.

- Guide and help define the data science and data analysis work for the Product team

- Advise and mentor other data scientists and analysts in the Product team

- Perform statistical modelling, correlation analysis and causal inference to understand behaviours inside the Scalapay product

- Measure, test and learn how different product features are used with quantitative approaches such as A/B tests and rollout plans

- This role will give you the autonomy to thrive while being part of a top-notch team of experienced colleagues who collaborate on the challenges surrounding data science.

- You’ll be a confident communicator who is comfortable advising on the best approach to improve business outcomes in the marketing, credit risk, fraud and operations space. 

 

 

- Strong Python and SQL experience

- Expertise in training and deploying predictive machine learnt models

- Ability to reason about statistical models, both applied (clustering methods, tree models, etc) as well as theoretical (frequentist methods, etc)

- Experience with PyTorch, TensorFlow, or other neural net frameworks is a bonus

- Solid skills in building and deploying algorithmic models, preferably in the financial services sector

- Ability to scope projects and decompose work into tasks

- Familiarity with Linux-like development stacks, including Git, Kubernetes, etc

- Familiarity with AWS infrastructure (such as S3, Athena, Glue, etc)

- A Masters Degree (preferred) or an undergraduate degree in a quantitative field such as statistics, mathematics, or Computer Science

 

- Attractive packages based on skills and experience

- International environment with significant challenges to be met every day

- Lots of opportunities to work with a team of industry tech leaders who are focused on delivering products that offer exceptional user experiences

- Personalised support to accelerate your professional growth and take ownership of the products you deliver: we want to help you grow!

- Latest technologies and being encouraged to bring your flair to the role

 

1) A quick chat with one of our Talent Acquisition team members

2) The first interview with the Hiring Manager to deep dive into your experiences and better understand your motivation

3) A case study to test your hard skills

4) A Meet The Team session where you’ll get to meet different people at Scalapay and see if you’ll fit into our culture

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Want to learn more? Don't hesitate to explore our Careers website and Careers website, and our LinkedIn, WTTJ, Meritocracy and Glassdoor pages. 

Pro tip: send your CV in English

Super Pro tip: we know that application processes can be scary and frustrating but… we look for talent, not people that tick all our boxes.

 

We believe in the power of diversity: Scalapay is an Equal Opportunity Employer for any minority, disability, gender identity or sexual orientation.