VP of Data Science (AdTech)

Location: Chicago, IL; New York, NY; Redwood City, CA

Company

hirify.global builds a data-sharing platform that provides consumers with savings tools, earned wages, and rewards while helping businesses use consented consumer data for research, insights, and targeted advertising.

What you will do

• Define standards for measuring impact, proving causality, and validating modeled data.
• Own the methodology behind census balancing, attribution, audience targeting, incrementality, and validation regimes.
• Document defensible standards for attribution windows, touch-model methodology, and ROAS conventions.
• Represent data science methodology to engineering, commercial, client, partner, and occasionally external stakeholders.
• Translate advanced statistical and machine learning methods into product decisions and commercial recommendations.
• Develop and lead the data science team and manage engagements with external domain consultants.

Requirements

• 10+ years of data science experience in AdTech or MarTech, including 4+ years leading a team.
• Deep expertise in causal inference, incrementality, attribution, media mix modeling, Bayesian methods, and experimental design.
• Hands-on experience with large-scale consumer datasets, including transaction, purchase, panel, or identity data.
• Experience owning measurement science or methodology and defending modeling approaches to clients, partners, or regulators.
• Strong Python and modern machine learning and statistical tooling skills, with experience operating on a cloud data stack.
• Advanced degree in economics, statistics, or a related quantitative field, or equivalent demonstrated expertise.

Nice to have

• Experience with panel-based or modeled/synthetic consumer data.
• Experience building and scaling a data science team.

Culture & Benefits

• Mission-driven work focused on building a more equitable and efficient data-sharing ecosystem.
• Close collaboration with product, engineering, machine learning, commercial, and executive stakeholders.
• Opportunity to work with hands-on leaders and contribute to consumer financial services and data products.