Chicago, United States; New York, US; Redwood City, United States
Full job description
Attain is seeking a VP of Data Science to lead the science behind its products, ensuring methodologies are defensible and trusted by clients and partners. The role reports to the SVP of Engineering and collaborates with product, engineering, ML, and commercial teams. Responsibilities include defining standards for impact measurement, owning product modeling and validation, documenting calculation standards, representing methodology internally and externally, translating methods into business recommendations, partnering on modeling infrastructure, leading a data science team, and managing external consultants. Candidates should have 10+ years in data science within AdTech/MarTech, 4+ years leading teams, advanced quantitative degrees or equivalent experience, strong Python and ML/statistical tooling skills, experience with large-scale consumer datasets, and excellent communication skills. Prior experience with panel or synthetic consumer data is a plus. Locations include Chicago, IL; New York, NY; and Redwood City, CA.
What you'll do
Define and maintain standards for measuring impact, proving causality, and validating modeled data
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Chicago, United States; New York, US; Redwood City, United States
Full-time
Own modeling behind products such as census balancing, attribution, audience targeting, incrementality, and validation regimes
Set and document standards for core calculations (attribution windows, touch-model methodology, ROAS conventions) implementation
Represent methodology to engineering, commercial stakeholders, and sometimes externally
Translate advanced methods into product decisions and business recommendations for commercial teams
Translate commercial pressure into a realistic scientific roadmap
Partner closely with Engineering and ML leadership on modeling infrastructure and standards
Develop and lead a team of data scientists
Partner with and manage engagements with external consultants with domain-specific expertise
Requirements
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 is a strong plus
Deep expertise in causal inference, incrementality, attribution, and media mix modeling, and the statistical grounding (Bayesian methods, experimental design) to defend it under pressure
Hands-on experience with large-scale consumer datasets (transaction, purchase, panel, or identity data) and knowledge of tradeoffs in imputation, matching, coverage gaps, and bias correction
Experience owning methodology in front of internal and external stakeholders
Excellent communication and presentation skills, able to engage both technical and commercial/executive audiences
Ability to proactively disclose model limits
Tech stack
Pythonmachine learningstatistical toolingcloud data stack
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