Staff Data Scientist (AdTech)

Who We Are

Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at www.verve.com.

What You Will Do

• Lead the design and development of large-scale, complex data science systems and models.

• Drive technical excellence across the Yield Optimization portfolio, including Demand Shaping, Floor Optimization, and Bid Optimization.

• Identify and champion new technologies or methodologies to maintain Verve's competitive edge in yield optimization.

• Plan and execute large-scale initiatives with significant impact, managing multiple interdependencies and cross-team collaborations.

• Resolve highly complex technical problems independently, often designing custom solutions.

• Design maintainable, scalable, and efficient systems for large-scale data processing and real-time model serving.

• Evaluate architectural trade-offs based on long-term business needs and technical debt considerations.

• Act as a technical leader and mentor to other data scientists and engineers across distributed teams.

• Refine team problem-solving tools, methodologies, and technical documentation to uplift the overall team competency.

• Partner closely with Product Management and Backend Engineering to align long-term technical roadmaps with business strategy.

• Maintain a high level of hands-on contribution, developing critical model components, conducting advanced statistical analysis, and designing robust A/B tests.