Data Scientist (Statistician) Advertising

Advertising 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. Matching what customers want or are looking for with partner ads is our ultimate ambition. 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.

What you do as Data Scientist (Statistician) Advertising

Our 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 and statistical understanding. Be the person who contributes to the team experimenting, learning, and iterating forward in a way that is scalable and efficient, without being restrictive in the aim to strive for perfect methodological rigor. You are senior enough to navigate this delicate balancing act.

In 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.

As a Data Scientist (Statistician), you are well versed in:

• Reinforcement learning
• Multi-armed bandits
• Experimentation
• Bayesian updating

• You're not into tooling - No, if SQL / Python / Machine Learning is terra incognita

• You're a soloist - No, if you've never worked with software engineers and don't look forward to the experience

• You don't deviate from the path - No, if your natural inclination is to stay on the beaten path: it might be boring, but it feels ever so secure

• Your track record breathes data - Yes, if you bring 5+ years of statistical data science experience to the table, preferably in 'data-driven, personalized' solutions and technical realizations

• You love lab settings - Yes, if you love to experiment and innovate and can get colleagues on board for the ride

• You go from concept to realization - Yes, if translating complex questions into the technical realization of scalable models and algorithms is totally your cup of Earl Gray

Magnet.me - The smart network where students and professionals find their internship or job. The smart network where students and professionals find their internship or job. Log inSign up bol * Retail * * 3,000 employees, You'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 and 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. You 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. bol Bij bol leveren onze collega's een unieke bijdrage om het dagelijks leven makkelijker te maken. Vrijheid en verantwoordelijkheid zorgen ervoor dat we samen de volgende stap voor bol, het team, en onszelf kunnen vormgeven. Door te pionieren brengen we bol verder, met elkaar zijn wij verantwoordelijk voor deze gezamenlijke missie. Retail Utrecht Active in 2 countries 3,000 employees 50% men - 50% women Average age is 33 years