Senior Data Scientist

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 verve.com.

Sr Data Scientist (IC4) - Yield Optimization

Responsibilities

• 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.

Required Skills

• Minimum of 5 years of experience in Data Science or Machine Learning, with a proven track record of delivering high-impact projects.
• Extensive AdTech industry expertise, with deep knowledge of programmatic auctions, supply/demand matching, and real-time bidding optimization.
• Master-level proficiency in Python and SQL.
• Deep expertise in ML frameworks (TensorFlow, PyTorch, or Scikit-learn) and their application at scale.
• Strong experience with Big Data and Cloud infrastructure (PySpark, Google Cloud Vertex AI, or equivalent).
• Proven ability to design and oversee the implementation of large-scale distributed systems and real-time ML pipelines.
• Exceptional communication skills with the ability to influence technical and non-technical stakeholders across the organization.
• Ability to navigate and align multiple teams around long-term technical visions and architectural standards.
• Advanced degree (Master's or PhD preferred) in a quantitative field (Applied Mathematics, Statistics, Computer Science, or Physics).

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