Senior Data Scientist

What you'll do

• Lead design and development of large-scale, complex data science systems and models
• Drive technical excellence across Yield Optimization portfolio including Demand Shaping, Floor Optimization, and Bid Optimization
• Identify and champion new technologies or methodologies to maintain 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, 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
• Act as technical leader and mentor to data scientists and engineers across distributed teams
• Refine team problem-solving tools, methodologies, and technical documentation
• Partner closely with Product Management and Backend Engineering to align technical roadmaps with business strategy
• Maintain hands-on contribution developing critical model components, conducting advanced statistical analysis, and designing robust A/B tests

Requirements

• 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, including programmatic auctions, supply/demand matching, and real-time bidding optimization
• Master-level proficiency in Python and SQL
• Deep expertise in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn and their application at scale
• Strong experience with Big Data and Cloud infrastructure such as PySpark and Google Cloud Vertex AI
• Proven ability to design and oversee large-scale distributed systems and real-time ML pipelines
• Exceptional communication skills to influence technical and non-technical stakeholders
• Ability to align multiple teams around long-term technical visions and architectural standards
• Advanced degree (Master's or PhD preferred) in Applied Mathematics, Statistics, Computer Science, or Physics

Tech stack