VP of Data Science

🏢 Attain · 📍 Chicago, IL; New York, NY; Redwood City, CA

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Position Summary & Responsibilities

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

🎯 Candidate Preparation Guide For Attain Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluating your mastery of data privacy compliance, consumer behavior analytics, and scaling data-driven loyalty or reward ecosystems.

📋 Preparation Priorities (Key Areas to Clarify):

1. Dismissive attitude toward data privacy safeguards and ethical compliance.
2. Inability to explain complex data pipelines in simple, business-impact terms.
3. Over-reliance on intuition rather than empirical consumer data.

✨ Recommended Role Alignment Hook:

I know how to unlock the true value of consumer purchase data by building transparent, high-retention reward ecosystems that brands trust.

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