Senior Data Scientist II, Monetization

OpenKrill; United States; À distance; USD 184 000 - 216 000; Plein temps

Avantages offerts par ce poste

Equity

401k Match

Benefits for humans and pets

Résumé du poste

Fetch is seeking a Senior Data Scientist II to own the scientific and product roadmap for Monetization, connecting first-party monetization with third-party data products. You will lead end-to-end from audience creation to measurement, building scalable data products and measurable outcomes.

You’ll stay hands-on in SQL, Python, statistical modeling, and causal inference while mentoring others and partnering with Sales, Product, Eng, and GTM to drive buyer confidence and revenue impact.

Qualifications

• 8+ years in data science or analytics leading complex products.
• Proven ability to define scientific or data-product roadmaps.
• Experience with cross-functional delivery (Sales, GTM, Product, Eng).

Responsabilités

• Own the scientific and product roadmap for Monetization domain.
• Lead audience creation, measurement, and data product evolution.
• Define measurement methodologies for complex studies and ensure evidence supports claims.
• Collaborate with Sales and GTM to position products and handle objections.
• Mentor scientists and establish reusable methods to raise quality.
• Stay hands-on in SQL, Python, and causal inference.
• Build repeatable products from bespoke studies.
• Balance reach, precision, and revenue costs for scalable solutions.
• Decide on data investments and data fusion strategies.
• Align with Product, Engineering, and Marketing on strategic goals.
• Champion data quality, governance, and scalability.
• Influence senior stakeholders with evidence-based recommendations.

Connaissances

SQL

Python

Statistical modeling

Causal inference

Leadership

Cross-functional collaboration

Experimentation

Description du poste

What we’re building and why we’re building it.

Fetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. To date, we’ve awarded more than $1 billion in Fetch Points to our users.

Each day, more than 13 million receipts are submitted on Fetch, providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers.

The Fetch app is available on the App Store and Google Play, with more than 6 million five-star reviews from a highly engaged and loyal user base.

It’s not just our users who believe in Fetch: with investments from Softbank, ICONIQ, DST, Greycroft, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.

At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.

Meet Fetch AI & Data

AI & Data at Fetch sit at the center of how we understand our business, make decisions, and build intelligent products. The organization operates as an integrated AI & data ecosystem, spanning multiple disciplines, including data engineering, analytics engineering, machine learning, experimentation, and data platforms, all working together to turn data into durable business and customer impact.

Teams operate in complex problem spaces where requirements evolve, tradeoffs are constant, and the right answer is rarely obvious. Success depends on strong technical judgment, comfort with ambiguity, and the ability to gather context and make informed decisions while balancing quality, performance, scalability, and responsible use.Practitioners across this org contribute hands‑on to production systems, analytical foundations, and intelligent features. You will collaborate closely with product, platform, and engineering partners, help shape standards and best practices, and ensure our AI and data capabilities scale reliably as Fetch grows.

About the Role

Fetch is built on real purchase data, shared by millions of users scanning their receipts. In Monetization, we turn that signal into products advertisers rely on: audiences built from actual shopping behavior, and measurement that shows whether a campaign changed what people bought.

As a Senior Data Scientist II, you’ll own the scientific and product roadmap for a Monetization domain, connecting first‑party user monetization with our third‑party data products. You’ll lead the full flywheel: informed audience creation, statistical expansion beyond Fetch’s user base, receipt‑based off‑platform measurement, and continuous audience improvement.

This is a hands‑on product leadership role. You’ll act as owner and seller for your domain alongside Product, Engineering, Sales, and GTM, shaping what gets built, how it’s positioned, and what claims the evidence can support.

This is a full‑time role that can be held from one of our US offices or remotely in the United States.

What you’ll do at Fetch

• Own the scientific and product roadmap for your domain, deciding what to build, what to sequence, and what to decline
• Set the standards for how audiences are created, evaluated, and expanded beyond Fetch users
• Make the call on reach–precision and revenue–cost trade‑offs, favoring scalable products over one‑off customization
• Shape how we combine receipt, partner, panel, and survey data, and decide which data investments are worth making
• Own measurement methodology for complex studies linking ad exposure to receipt‑observed purchases
• Define what results can and can’t support, especially when a causal claim or generalization goes beyond the evidence
• Turn bespoke studies into repeatable products
• Build the feedback loop between audiences and measurement, with the holdouts and monitoring to trust what it tells you
• Connect first‑party monetization with third‑party products, including using audience insights to acquire and engage high‑value users
• Lead the scientific case with Sales and GTM, from customer discovery and pilots to positioning and handling buyer objections
• Influence senior stakeholders and commercial commitments with clear, evidence‑backed recommendations
• Stay hands‑on in SQL, Python, statistical modeling, and causal inference
• Mentor scientists and establish methods that raise quality across the domain

In your Toolbox

• 8+ years of experience in data science, machine learning, or applied analytics, with demonstrated leadership of complex analytical products in product‑driven environments
• Experience defining a scientific or data‑product roadmap, and the ability to explain what you prioritized, what you declined, and why
• Experience leading cross‑functional delivery with Sales, GTM, Product, and Engineering, including shaping customer pilots and defending product value directly
• A track record of building differentiated datasets or audience products from imperfect sources, with clear trade‑offs on coverage, validity, and cost
• Experience with audience expansion, panel calibration, data fusion, or measurement products that held up beyond the original sample
• Ownership of complex causal measurement, including defending your assumptions under scrutiny and changing a recommendation when the evidence fell short
• Judgment on reach–precision and revenue–cost trade‑offs, including recognizing when more scale reduced value
• Sustained audience or monetization gains and customer adoption, with measured outcomes used to redirect product strategy
• Evidence of influencing senior stakeholders, such as times when evidence changed a pitch, commitment, or investment
• Hands‑on depth in SQL, Python, statistical modeling, and causal inference
• Experience mentoring scientists and establishing reusable methods that improved quality beyond your own work

Nice to haves

• Substantial ownership of audience, measurement, or monetization data products in advertising, retail media, market research, consumer panels, or a comparable commercial setting is strongly preferred
• Experience translating market research or quantitative social science into repeatable products and customer or commercial decisions
• A background in political science, survey methodology, econometrics, demography, or another resource‑constrained quantitative field

Compensation:At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is [$183,665 - $216,077]. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.

At Fetch, we'll give you the tools to feel healthy, happy and secure through:

• Equity: We offer full‑time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
• 401k Match: Dollar‑for‑dollar match up to 4%.
• Benefits for humans and pets: We offer comprehensive medical, dental, and vision plans for everyone, including your pet