Senior Data Scientist: Yield Optimization Leader

Verve; Dublin; On-site; EUR 110,000 - 160,000; Full time

Job summary

Verve is seeking a Sr Data Scientist (IC4) to lead the design and deployment of large-scale data science systems for yield optimization within its ad-tech platform. You will shape demand shaping, floor and bid optimization, and drive cross-team collaboration with product and backend engineering.

The role demands 5+ years in data science, expertise in Python/SQL, and strong ML framework experience. A Master’s or PhD is preferred and cloud-based data processing is required.

Qualifications

• Minimum of 5 years of experience in Data Science or ML 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.
• Advanced degree (Master's or PhD preferred) in a quantitative field (Applied Mathematics, Statistics, Computer Science, or Physics).

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.

Skills

Python

SQL

TensorFlow

PyTorch

Scikit-learn

PySpark

Vertex AI

Google Cloud

Distributed systems

Communication

Education

Master's or PhD in quantitative field

Tools

PySpark

Vertex AI

Google Cloud

Job description

Verve is seeking a Sr Data Scientist (IC4) to lead the design and deployment of large-scale data science systems for yield optimization within its ad-tech platform. You will shape demand shaping, floor and bid optimization, and drive cross-team collaboration with product and backend engineering.

The role demands 5+ years in data science, expertise in Python/SQL, and strong ML framework experience. A Master’s or PhD is preferred and cloud-based data processing is required.