Senior/Staff Data Scientist

Verve, a leading location-based marketing platform, as a Senior/Staff Data Scientist. In this role, you will lead the research and modeling behind our Yield Optimization portfolio, turning business problems into well-posed modeling problems and building and validating models for bidding, reserve prices, and traffic shaping. You will work closely with ML engineers to take models to production, act as a technical leader and mentor to other data scientists and engineers, and partner closely with Product Management, ML Engineering, and Backend Engineering.

Responsibilities

• Lead the research and modeling behind the Yield Optimization portfolio, including Demand Shaping, Floor Optimization, and Bid Optimization.
• Build and validate models for bidding, reserve prices, and traffic shaping, using auction theory, causal inference, forecasting, and online learning methods.
• Act as a technical leader and mentor to other data scientists and engineers across distributed teams, refining team problem-solving tools and methodologies.
• Hands-on analysis of large datasets with BigQuery and PySpark, and model training on a cloud platform such as Vertex AI
• Deep expertise in ML methods and frameworks (Scikit-learn, gradient boosting, PyTorch or TensorFlow), including model selection, validation and offline evaluation
• Ability to navigate and align multiple teams around long-term technical visions and modeling standards
• Extensive AdTech industry expertise, with deep knowledge of programmatic auctions, supply/demand matching, and real-time bidding optimization
• Working knowledge of real-time model serving, enough to design models that meet latency and feature constraints

Requirements

• Strong foundations in statistics, probability and optimization, with applied experience in at least one of auction theory, causal inference or experimental design

Master-level proficiency in Python and SQL

• Exceptional communication skills with the ability to influence technical and non-technical stakeholders across the organization
• 5+ years in data science or applied ML, with models you built running in production and a measurable business impact

Preferred

• Advanced degree (Master's or PhD preferred) in a quantitative field (Applied Mathematics, Statistics, Computer Science, or Physics)

Benefits

• This position offers unlimited PTO, a comprehensive benefits package, and opportunities for development and career growth.