pythonsqltensorflowpytorchscikit-learnpysparkgoogle cloudvertex aimachine learningdata scienceadtechprogrammaticreal-time biddingdistributed systemsbig data
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
Dublin, Ireland
Full job description
Senior Data Scientist role focused on Yield Optimization at Verve. Responsibilities include leading design and development of large-scale data science systems and models, driving technical excellence in Demand Shaping, Floor Optimization, and Bid Optimization, managing large-scale initiatives, solving complex technical problems, designing scalable data processing and real-time model serving systems, mentoring team members, and collaborating with Product and Engineering teams. Requires 5+ years experience in Data Science or Machine Learning, strong AdTech knowledge, proficiency in Python, SQL, ML frameworks (TensorFlow, PyTorch, Scikit-learn), Big Data and Cloud infrastructure (PySpark, Google Cloud Vertex AI), and advanced degree in a quantitative field.
What you'll 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
Similar jobs
More roles worth a look
Related opportunities based on specialty and working model so candidates can keep momentum.
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, 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 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
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 a quantitative field (Applied Mathematics, Statistics, Computer Science, or Physics)
Tech stack
PythonSQLTensorFlowPyTorchScikit-learnPySparkGoogle Cloud Vertex AI
Apply now
Ready to take the next step in your career? Click the button below to continue to the application process.
