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About the Role

As Attain's VP of Data Science, you'll own the science behind our products and be the trusted expert for clients and partners seeking to validate our methodologies. You will set the standard for defensible methodologies and be comfortable explaining our products' inner workings to sophisticated buyers and partner data science teams. This role reports into the SVP of Engineering and collaborates with product, engineering, and ML teams on modeling and validation at scale, as well as with commercial teams on how the science is presented to clients.

Responsibilities

Define and maintain standards for measuring impact, proving causality, and validating modeled data.
Own the modeling behind products, including census balancing, attribution, audience targeting, and incrementality, along with their validation regimes.
Set and document standards for consistent and defensible implementation of core calculations like attribution windows, touch-model methodology, and ROAS conventions.
Represent Attain's methodology to internal engineering and commercial stakeholders, and externally.
Translate advanced methods into product decisions and business recommendations for commercial teams, and translate commercial pressure into a realistic scientific roadmap.
Partner closely with Engineering and ML leadership on modeling infrastructure and standards.
Develop and lead the data science team.
Partner with and manage engagements with external consultants.

Requirements

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 (transaction, purchase, panel, or identity data).
Understanding of tradeoffs in imputation, matching, coverage gaps, and bias correction.
Career built in AdTech/MarTech with personal ownership of methodology for internal and external stakeholders.
Ability to act as a strong advisor, clearly articulating questions, concerns, and limitations.
Excellent communication and presentation skills, comfortable engaging with technical and commercial audiences.
Proactive disclosure of model limitations.
Excitement to lead a team of data scientists with a product and client mindset.
10+ years in data science within AdTech/MarTech, with 4+ years leading a team.
Track record of owning measurement science or methodology at a senior level in AdTech, MarTech, or a data-driven consumer platform.
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 is a strong plus.

Skills

Causal inference
Incrementality
Attribution
Media mix modeling
Bayesian methods
Experimental design
Large-scale consumer datasets
Imputation
Matching
Bias correction
AdTech/MarTech
Communication
Presentation
Python
ML/statistical tooling
Cloud data stack

Experience Level

10+ years in data science
4+ years leading a team
Senior level

Education Level

Advanced degree (MS/PhD/MBA) in economics, statistics, or a related quantitative field, or equivalent demonstrated depth

About the Company

Attain is built for consumers and companies, believing consumers and businesses can coexist in a data-driven world.
Our platform empowers consumers to leverage their data for modern financial services, offering savings tools, earned wages, and rewards without cost or hidden fees.
In return, consumers grant permission to use their real-time data for research, insights, and targeted advertising.
Contributions help build a more equitable and efficient data sharing ecosystem.
Opportunity to work with hands-on leaders and mission-driven individuals.

Equal Opportunity

We are passionate about finding people to continuously help us grow our organization.
We encourage you to apply, even if your experience doesn’t match every detail on the job description.
If we don’t see something that immediately fits, we will keep your resume on file for future opportunities.