Senior Data Scientist - Paris

  • Slimpay
  • Paris, France
  • Oct 14, 2017
Full time Data Developer

Job Description


Subscription has completely transformed the way we consume. For goods and services bought both episodically (computer software, electrical goods, etc.) and regularly (transport, on demand TV, music, contact lenses, etc.), more and more people now prefer to subscribe, as opposed to outright buy. As people are changing the way they consume, the time has come for merchants to enter this new era and to reconsider their business model in order to meet consumer expectations and take full advantage of this new mode of consumption.


Here at SlimPay we believe that payment is an essential step of the customer journey and key to online conversion. Our solution is based on direct debit as this is the most adapted method for paying subscription and recurring payments. Direct debit is not affected by expiry dates and payment limits, and bypasses the need for intermediaries, as the merchant is paid directly from the customer’s bank account.


Founded in 2009, SlimPay is the European leader for payments for subscriptions via direct debit. In addition to processing payments in both EURO and GBP for fixed and variable payment plans, SlimPay provides value-added technologies and services to enable merchants to effortlessly onboard customers, increase customer lifetime value and maximise collected revenue. The company employs over 60 payment specialists spread over 6 international offices and more than 2000 customers (including Deezer, Nespresso, Unicef…) in 34 countries.

Due to our success, we've been awarded #1 Deloitte Fast50 2015 and #11 in 2016 and be enlisted ed in KPMG FinTech100 in 2015.


To reinforce our Engineering team we’re looking into hiring a Data Scientist who will work on predictive models using Machine Learning techniques to prevent and lower fraud and insolvency.

His/Her main responsibilities will be:

  • to perform data mining and data analysis
  • to find variables correlated with fraud and/or insolvency and integrate them in models
  • to suggest new statistical models and improve existing ones
  • to create KPI to follow their performance (ROC/AUC, Lift, RMSE…)
  • to help integrating models in production
  • to present performance and analysis results (data visualization)


We’re looking into hiring a Data Scientist with:

  • a mathematical/statistical background
  • a proven experience in SQL
  • a proven experience in Machine Learning (supervised learning, clustering, dimensionality reduction...)
  • knowledge of Hadoop (Hive/HBase)
  • knowledge of Spark (Python or Scala) is a plus
  • ability to communicate results to both technical and non-technical audiences


  • A highly motivated, experienced and international team
  • A Start Up environment with flexible structures with flat hierarchy
  • Office in central Paris