Staff Data Scientist

Staff Data Scientist

Berlin, Berlin, Germany London, England, United Kingdom

We shaped the earliest forms of ad tech, and we're looking for the technical expertise to help shape its future. Our customers have unique problems that can only be solved at internet scale, and that's where the technical skills of our team make a real difference.

Our exchange handles over 500 billion requests every day (for comparison Google serves an estimated 9 billion searches a day), all running in our own global data centers. Every member of our technology team has an enormous amount of autonomy in building and managing our systems to support and enable our growing level of scale. Through the transparency of our technology, dedication to innovation and integrity, and long-standing customer relationships, we lead through change.

About The Role:

We're looking for a Staff Data Scientist who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide technology strategy for machine learning and optimization, and to drive pragmatic execution and iterative improvement of the same.

In this role you will lead high-impact data science initiatives that drive innovation and measurable value. You will design and implement advanced machine learning models, lead large-scale projects, and collaborate with cross-functional teams to align solutions with business goals. As a senior technical expert, you will mentor team members, contribute to scaling data science capabilities, and influence the organization's data strategy. This position combines technical excellence with strategic vision, empowering you to shape impactful, data-driven solutions.

What We're Looking For:

A pragmatic data science technologist:

• Learn and understand the business vision and market opportunity for the company
• Work backwards from business problems to generate scientific hypotheses to guide development focus and pragmatism
• Use analytical, statistical and database skills to understand large, complex datasets with the aim to increase the programmatic efficiency
• Design, develop, and drive implementation of complex data-centric solutions, including large data set segmentation, transformation, and feature generation
• Clearly articulate research and development hypothesis, decisions and results
• Take part in the process of designing, developing & improving algorithms for automated decision making around programmatic exchange optimization
• Take active part in designing, and driving implementation production performance monitoring frameworks and KPIs
• Work together with ML engineers and architects to develop production grade data centric solutions
• An entrepreneurial spirit with room and expectations to bring innovative ideas to address the problems at hand

Here's What You Need:

• 7+ years of experience in data science or machine learning environments that requires the combined application of statistical & technical skills
• Experience in data science practices in operational environments and internet scale, i.e - this is an applied position, rather than a solely research focused one
• Strong statistical and research skills with a track record of using a variety of statistical methods (especially classification/prediction and time series models)
• Proven ability to demonstrate and articulate complex results to wide technological audience
• Demonstrated history of enabling advanced data modeling-based guidance for technology development
• Experience in cross functional team cooperation to drive pragmatic technological solutions
• Expert in pragmatic application of data science and optimization best practices at large scale (industry scale platform experience preferred)
• Excellent development skills (Python required, specifically pandas, numpy, SciKit; Knowledge in Scala a plus)
• Familiarity with digital marketing, advertising or analytics is a plus
• Work experience in complex system engineering environments is a plus
• Bachelors or Master's in mathematics, Computer Science, Engineering, or equivalent

Why You'll Love Working Here:

• Comprehensive health, dental, and vision plans for you and your dependents
• Paid time off, health days, and personal obligation days plus flexible work schedules
• Competitive retirement matching plans
• Equity packages
• Generous parental leave available to birthing, non-birthing, and adoptive parents
• Annual well-being allowance plus fitness discounts and group wellness activities
• Commuter benefits and discounts, where available
• Employee assistance program
• Mental health first aid program that provides an in-the-moment point of contact and reassurance
• One day of volunteer time off per year and a donation-matching program
• Bi-weekly town halls and regular community-led team events
• Multiple resources and programming to support continuous learning
• A workplace that supports a diverse, equitable, and inclusive environment