VP of Data Science

Leads Attain’s data science methodology and team, owning defensible measurement, causal inference, attribution, and modeled consumer-data products. The role requires deep AdTech/MarTech expertise, strong statistical and Python skills, client-facing credibility, and at least 10 years of experience.

About the job

Responsibilities

Define and maintain standards for measuring impact, proving causality, and validating modeled data.
Own methodology and modeling for census balancing, attribution, audience targeting, incrementality, and validation regimes.
Establish and document consistent, defensible standards for attribution windows, touch-model methodology, and ROAS conventions.
Represent Attain’s methodology to engineering, commercial, and external stakeholders.
Translate advanced statistical methods into product decisions and business recommendations, while incorporating commercial needs into the scientific roadmap.
Partner with Engineering and ML leadership on modeling infrastructure and standards without directly owning the infrastructure.
Develop and lead a team of data scientists.
Manage engagements with external consultants and domain specialists.

Requirements

10+ years of data science experience in AdTech or MarTech, including 4+ years leading a team.
Senior-level ownership of measurement science or methodology in AdTech, MarTech, or a data-driven consumer platform.
Deep expertise in causal inference, incrementality, attribution, and media mix modeling.
Strong statistical foundation in Bayesian methods and experimental design.
Hands-on experience with large-scale consumer datasets, including transaction, purchase, panel, identity, modeled, or synthetic data.
Experience addressing imputation, matching, coverage gaps, and bias correction.
Experience presenting and defending modeling approaches to clients, partners, or regulators.
Strong Python and modern machine learning/statistical tooling skills.
Comfort operating on a cloud data stack.
Excellent communication and presentation skills across technical, commercial, and executive audiences.

Nice-to-haves

Advanced degree such as an MS, PhD, or MBA in economics, statistics, or a related quantitative field.
Experience building and scaling a data science team.
Experience with panel-based or modeled/synthetic consumer data.

Skills

Causal Inference, Incrementality, Attribution, Media Mix Modeling, Bayesian Methods, Experimental Design, Python, Machine Learning, Statistical Modeling, Cloud Data Stack, Consumer Data, Bias Correction