VP of Data Science

The role

The VP of Data Science will own the science behind products and set standards for defensible methodologies. This person will work with product, engineering, ML, and commercial teams to model and validate data at scale.

What you will do

• Define and maintain standards for measuring impact, proving causality, and validating modeled data
• Own modeling behind products including census balancing, attribution, audience targeting, and incrementality
• Set and document standards for core calculation implementations
• Represent methodology to engineering, commercial, and external stakeholders
• Translate advanced methods into product decisions and business recommendations
• Translate commercial pressure into a realistic scientific roadmap
• Partner with Engineering and ML leadership on modeling infrastructure and standards
• Develop and lead the team of data scientists
• Partner with and manage engagements with external consultants

Required qualifications

• Deep expertise in causal inference, incrementality, attribution, and media mix modeling
• Statistical grounding in Bayesian methods and experimental design
• Hands-on experience with large-scale consumer datasets such as transaction, purchase, panel, or identity data
• Career built in AdTech/MarTech
• Experience owning methodology in front of internal and external stakeholders
• Excellent communication and presentation skills
• Ability to lead a team of data scientists

Nice to have

• 10+ years in data science within AdTech/MarTech, with 4+ years leading a team
• Track record owning measurement science or methodology at a senior level in AdTech, MarTech, or a data-driven consumer platform
• Advanced degree (MS/PhD/MBA) in economics, statistics, or a related quantitative field, or equivalent demonstrated depth
• Experience presenting and defending modeling approaches to external clients, partners, or regulators
• Strong Python and modern ML/statistical tooling; comfortable operating on a cloud data stack
• Experience building and scaling a data science team
• Prior experience with panel-based or modeled/synthetic consumer data specifically

About the company

Attain is built for consumers and companies to allow consumers to leverage their data in exchange for modern financial services. The platform allows consumers to access savings tools, earned wages and rewards by giving permission to use their real-time data for research, insights and targeted advertising.