Data Scientist Fraud & Risk Leverage data science to block malicious behavior

Education level
Bachelor
Job experience
4-7 years
locatie
Utrecht

How do you make our customers happy?

Together with our 47,000 partner sellers, bol.com is changing retail to make daily life easier for 13 million customers. By now, those customers swipe and click through a catalog of over 33 million articles. Given those huge numbers and our rapid growth, our retail tech platform is prone to misuse. So we are constantly stepping up our efforts to deter abuse, e.g., by leveraging data science to detect and mitigate malicious behavior. We want your help to build innovative solutions that future-proof fraud detection, reduce the risks of malicious behavior, and – last but not least – stop miscreants dead in their tracks.

Your responsibilities

In this role, you will co-create and validate predictive and risk models that automate and/or enhance our fraud detection capabilities. In short: you aim to spot and stop potential platform misuse in real time! Together with colleagues from a variety of professional backgrounds and with diverging skill sets, you identify fraud patterns (what are the subtle and not so subtle indicators?) and devise ways to detect and stop misuse early and effectively. That entails conceptualizing innovative solutions (we do not have many platform peers, so copy/pasting solutions is rarely an option) and leveraging data from a wide range of sources.

The role calls for a Data Scientist who doesn’t subscribe to the ‘science for science’s sake’ mindset, because understanding the purpose and ambitions of the surrounding business is key to maximizing your impact. The same goes for an eagerness to enable engineers and convince less tech-savvy colleagues of the added value of your predictive models. So, data science credentials aside, the team is looking for someone who speaks up easily, enthusiastically sells their ideas, and can level with any and all stakeholders, regardless of their field of expertise and data science prowess.

  • Help build and continually optimize data science solutions that identify and mitigate platform risk exposure
  • Determine indicators (patterns) of potential fraud and conceptualize ways to automatically detect instances
  • Engage with our ‘hardcore’ tech and business communities to demonstrate the added value of your models, cultivate commitment
  • Claim end-to-end ownership of your models and solutions: from ideation to implementation

Why you can make a difference

To be successful as Data Scientist Fraud & Risk, you obviously need the right credentials: a background in data science (AI or equivalent) and at least 3 years of relevant work experience. This ideally comprises a mix of Machine Learning / Deep Learning / Link Analysis / Risk Modeling techniques. We also expect a proven ability to program in Python, write queries in SQL and use libraries like sklearn, keras, and/or tensorflow. Bonus points for experience with Neo4j, the Google AI platform, and Java.

Technical skills aside, we’re looking for a team member who is eager to work on data science projects from ideation to production phase. On a more personal level, we value a strong drive to help people from divergent backgrounds and skill sets to understand your models, as well as strong social skills. Moreover, the team loves to share, both ‘internally’ and with the broader Data Science community. Our team also has a soft spot for the ‘just do it’ mindset. If you share that mentality, awesome!

3 reasons why this is (not) for you

  • - Attention span No, if your attention span plummets after the POC phase
  • - Neutral nets No, if neural nets are your answer to anything and everything
  • - Han Solo No, if you like flying solo #allthatairspaceismiiiiiiiiiiine!
  • + Collaboration with engineers Yes, if you are keen to collaborate with the engineers on your team: they build what you envision, so the closer the bonds, the better
  • + Eager to spread the Data Science word Yes, if mixing and mingling with the Fraud & Risk crowd (and beyond) is your thing: you are eager to spread the Data Science word
  • + Ideas into realities Yes, if you feel responsible for turning ideas into realities

Where you’ll work

At the premier online retail tech platform in the Netherlands and Belgium. A platform where 13 million Dutch and Belgian customers can choose from over 33 million articles. A platform that helps roughly 47,000 commercial partners run their business. And a platform that will never be ‘finished’, because bol.com has been reinventing retail since 1999 and we always will be. If there’s a better way to do something, we’re working on it! Together with our customers, partners, and about 2,400 colleagues. And hopefully together with you! The setting is open, pioneering, and autonomy is actively encouraged. In this role, you work closely with our Product Owner, Business Analyst, fellow Data Scientists, and Software Engineers.

 

It is our responsibility to enable an environment that unleashes the power of diversity.

Perks of having a blue heart

  • The culture and the office

    Our colleagues work hard to make the daily lives of our customers easier and more fun. But of course, we do this in an inspiring and creative environment!
  • The extra's

    This includes a telephone, training sessions, a nice lunch and possibly a lease car, if this is necessary for the performance of your job.
  • The new flexible working

    We bring the best of both worlds together by working 50% at the office and 50% at home. This way, we find a balance between organisational and individual needs.

Your application process

Any questions?

Eleni Sakaj, Recruiter

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