Klover Verified

FinTech, Financial Services, Mobile Apps

VP of Data Science

Chicago, ILOnsiteFull TimeVice PresidentPosted 2 months agoVisa sponsorship available

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Required skills

Causal inference
Incrementality
Attribution
Media mix modeling
Bayesian methods
Experimental design
Large-scale consumer datasets
Transaction data
Purchase data
Panel data

Nice to have

MS/PhD/MBA
Economics
Statistics
Quantitative field
External clients
Partners

Role summary

Attain is seeking a VP of Data Science to lead the scientific methodologies behind its consumer data platform. This role is crucial for establishing defensible data science practices, particularly in areas like causal inference, attribution, and modeling. The VP will work closely with product, engineering, and commercial teams to ensure scientific rigor translates into product features and client trust. Key responsibilities include defining measurement standards, owning product modeling, representing methodology externally, and developing a team of data scientists. The ideal candidate has deep expertise in AdTech/MarTech, large-scale consumer datasets, and a strong track record of leading data science initiatives and teams.

About Attain

Built for consumers and companies, alike

In a world driven by data, we believe consumers and businesses can coexist. Our founders had a vision to empower consumers to leverage their greatest asset—their data—in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tools, earned wages and rewards without cost or hidden fees. In exchange, they give permission to use their real-time data for research, insights and targeted advertising.

At Attain, your contribution will help us build a more equitable and efficient data sharing ecosystem—whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You’ll have the opportunity to work directly with hands-on leaders and mission-driven individuals everyday.

About the role

As Attain's VP of Data Science, you'll own the science behind our products, and be the person clients and partners trust when they want to stress-test our numbers. Attain's differentiation isn't just that we have data; it's that our methodologies are defensible. You'll set the standard for what "defensible" means and be comfortable being the one in the room when a sophisticated buyer or a partner's data science team wants a peek under the hood to understand how our products work.

This role reports into the SVP of Engineering and sits at the intersection of methodology, product, and client trust. You'll work closely with product, engineering, and ML teams on how we model and validate at scale, and just as closely with commercial teams on how that science shows up in front of clients.

You'll be a great fit for the role if

You have deep expertise in causal inference, incrementality, attribution, and media mix modeling, and the statistical grounding (Bayesian methods, experimental design) to defend it under pressure

You've worked hands-on with large-scale consumer datasets (transaction, purchase, panel, or identity data) and know the real tradeoffs in imputation, matching, coverage gaps, and bias correction

You've built your career in AdTech/MarTech, and have personally owned methodology in front of both internal and external stakeholders

You know how to be a strong advisor, not just a decision-maker; you can lay out every question, concern, and limitation on a product or methodology choice clearly enough to ensure there is no ambiguity in the decision-making process

You have excellent communication and presentation skills, and can move comfortably between a technical ML/engineering audience and a commercial/executive one, and you're credible with both

You'd rather disclose the limits of a model proactively than get caught defending it after the fact

You're excited to lead a team of data scientists who combine methodological depth with a product and client mindset

What a typical week will look like

Define and maintain the standards for how Attain measures impact, proves causality, and validates modeled data

Own the modeling behind our products, e.g. census balancing, attribution, audience targeting, incrementality, and the validation regimes that back them

Set and document the standard for how core calculations (attribution windows, touch-model methodology, ROAS conventions) are implemented consistently and defensibly, once Product has decided what those calculations should be

Represent Attain's methodology to both engineering and commercial stakeholders, and sometimes externally as well

Translate advanced methods into product decisions and business recommendations for commercial teams, and translate commercial pressure back into a realistic scientific roadmap

Partner closely with Engineering and ML leadership on modeling infrastructure and standards, without owning that infrastructure directly

Develop and lead our team of data scientists

Partner with and manage engagements with external consultants who bring domain-specific expertise

Preferred Qualifications

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

We are excited to hear from you.

At Attain, 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.

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