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ppBe the statistical conscience and help drive innovation in a team /p h3How do you make our customers happy? /h3 pAdvertising within bol strives to present customers with maximally relevant ads. This is great for our 13 million customers as well as for our advertisers, because relevance is the primary driver of conversion. Particularly in a setting that displays ads during the shopping experience. So, matching what customers want/are looking for with partner ads is our ultimate ambition. But can we accomplish that? As a member of bol’s largest innovation club, you answered with a resounding ‘yes!’, because dreaming big and realizing those dreams is what we do. We already have all the right tools, and we know that you can help us get even more out of them. /p h3What you do as Data Scientist (Statistician) Advertising /h3 pOur Advertising teams are home to ambitious product owners, data analysts/designers, software engineers, machine learning engineers and other data scientists, who all work together to maximize our advertising potential for customers and advertisers. You act as a sounding board to all innovation efforts to ensure that the right steps are taken from a statistical perspective. This role requires a pragmatic mindset, grounded in strong methodological / statistical understanding. Be the person who contributes to the team experimenting, learning and iterating forward, in a way that is scalable and efficient, and not restrictive in its aim to strive for perfect methodological rigor. You are senior enough to navigate this delicate balancing act. /p pIn addition to acting as a sounding board, you enjoy collaborating with data scientists and engineers to hands-on develop new statistically grounded services such as reinforcement learning or multi-armed bandit-based approaches aimed at automating or speeding up innovation. You enjoy working in a setting where you have a large degree of autonomy in deciding which projects help the team’s capacity to innovate most, and where you will invest your time in. /p pAs a Data Scientist (Statistician), you are well versed in: /p ul liReinforcement learning /li liMulti-armed bandits /li liExperimentation /li liBayesian updating /li /ul p3 reasons why this is (not) for you /p h3Pros /h3 ul libYour track record breathes data /bYes, if you bring 5+ years of statistical data science experience to the table, preferably in ‘data-driven, personalized’ solutions and technical realizations /li libYou love lab settings /bYes, if you love to experiment and innovate and can get colleagues on board for the ride /li libYou go from concept to realization /bYes, if translating complex questions into the technical realization of scalable models and algorithms is totally your cup of Earl Grey /li /ul h3Cons /h3 ul libYou’re not into tooling /bNo, if SQL / Python / Machine Learning is terra incognita /li libYou’re a soloist /bNo, if you’ve never worked with software engineers and don’t look forward to the experience /li libYou don’t deviate from the path /bNo, if your natural inclination is to stay on the beaten path: it might be boring, but it feels ever so secure /li /ul h3This is where you’ll work /h3 pYou’ll land in the Advertising tech fleet, one of our engineering departments that focuses on the different Advertising products. We develop innovations and technical tools to present advertisers with limitless opportunities to showcase their products/services on our platform. We zoom in on strategic topics, such as sponsored products and display advertising, as well as on audiences and the data we can make available to our advertisers. /p pYou collaborate with data scientists, machine learning engineers and software engineers to be the statistical sounding board that facilitates innovation in a statistically sound yet pragmatic way, to unlock yet more value from our data /p /p #J-18808-Ljbffr