Data Scientist, FinTech Remote

Warsaw

Applications have closed
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ViaBill

The Company
ViaBill operates at the intersection of the eCommerce, payments and consumer credit sectors, and is an industry pioneer and early market entrant in the BNPL industry, which is experiencing explosive growth. Becoming the best at something isn’t easy. It takes skill, hard work, and an unmatched level of ambition and determination. Our team is international, experienced and most of all, hardworking. We come from Denmark, a country known for global companies and startups like TrustPilot, Vivino, and Zendesk - a list that will soon include ViaBill. 
In just a few short years, we’ve grown from our first office in an art gallery in Denmark to having our team located all over the globe - the newest additions being our Manhattan and Madrid offices. And now we’re on the hunt for exceptional talent to help us scale our business in Europe. From a handful of customers to handling transactions worth more than $150M per year, we aren’t afraid of new challenges and new markets. Our strategy has been validated with external investment from leading VC’s e.ventures and BlackFin Capital Partners.
We won’t lie, scale-ups take a lot of hard work. It takes something extraordinary to come out on top. And we want you to go the extra mile for the company – and yourself. “Opportunities multiply as they are seized.” – Sun Tzu 

Are you passionate about numbers and optimization within the world of finance and ready for a big role? Would you also like to be part of a young, ambitious and collaborative team in a rapidly growing, dynamic VC-backed FinTech in a hot sector? Well, let’s chat then.
About The Role 
In order to reach our growth expectations and optimize our business process, we’re now looking for a Data Scientist to join the exciting journey.
As a Data Scientist, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic and experimental techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems and create operational efficiencies. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of business questions and present the insights. Additionally, the candidate should be highly motivated to drive issues to resolution.You are playing a pivotal role to detect fraud and mitigate loss and generate insights about marketing, our merchants, and customers. You will help build rich datasets and state-of-art machine learning techniques to develop data products that are used by thousands of users and contribute to the growth of our business.
This is a full-time position reporting to the Senior Data Scientist on a remote basis. 

About you:

  • You have hands-on experience developing machine learning models  and can prove it with previous projects (commercial projects, your portfolio at git repository or Kaggle competitions)
  • Experience with machine learning pipelines, data visualization, data validation, statistical testing, and presenting your findings to a non-technical audience
  • Understanding of the concept of clean code in machine learning
  • Relevant experiences in risk management (fraud/ credit), consumer lending, consumer finance, and/or business growth are preferred but we appreciate all the areas where you’ve created a classification of regressions models
  • Quantitative background in computer science, statistics, math, and similar majors
  • Understanding of machine learning techniques, such as logistic and linear regression, gradient boosting algorithms, a basic understanding of neural network architecture
  • Machine learning programming skill (Python, and SQL), knowledge of ML frameworks (scikit-learn, pandas, numpy, keras/tf/pytorch, matplotlib)  
  • Basic cloud tools understanding (AWS, Google, Azure)
  • Willingness to learn new technologies/languages
  • Self-driven with the ability to work in a self-guided manner English is a must since we are an international team 

What you will do:

  • Evaluate potential approaches, validate data, build features, algorithms, and determine metrics to improve the current machine learning models
  • Develop machine learning systems - from data pipelines and training to real-time prediction engines
  • Work cross-functionally with Product owners, engineers, DevOps and other business units to improve our existing machine-learning systems
  • Identify new opportunities to apply Machine Learning to different parts of the product 
  • Stakeholder management (both internally, and externally - for example, vendors) is a fairly big part of the role



About our teamWe offer a job and environment with great potential for career development, freedom to unfold skills and competencies, and equal treatment. Everything is measured and backed up by numbers and data. If you are ready to learn, grow and perform we are ready to reward you for your hard work and success. Our highly talented team consists of 24 different nationalities, headquartered in Copenhagen (DK), and has a secondary offices in New York as well as other European cities. 
SONOS sound-filled offices centrally located in Copenhagen K. 100 professional and ambitious colleagues with an average age of 29, are eager to welcome you. 
What we offerCompetitive comp package Responsibility without limits A key impact role and the opportunity to build up your own team at an exciting international best-in-class growth company. A true strategic stake in the company’s growth as a key part of the management team A fun, informal and international working atmosphere with a smart, passionate and driven team in CopenhagenDaily lunches in the office and unlimited snack, drinks and fruitsFriday bar, Quiz, Team activities, and eventsA contemporary office in the historical center of Copenhagen
We are locatedGrønnegade 10, 1107 Copenhagen K

For more information, please visit our website - https://viabill.com/ Read more about our privacy policy - https://viabill.io/gdpr/#job

Job region(s): Remote/Anywhere Europe
Job stats:  52  13  0

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