Fetch helps people live rewarded, with a vision to create the rewards destination for everyone.
The Role
Lead a small data science team while remaining hands-on in building advertising audience, measurement, ranking, and data-feed models. Set technical direction, apply causal inference and experimental design, build scalable production systems, mentor scientists, and partner with product, engineering, sales, and business development teams. Translate campaign data into trusted measurement products, influence senior leaders and customers, and establish Fetch’s methodology as a market standard.
Summary Generated by Built In
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’s off-platform data business monetizes our data beyond the app through audience segments, measurement capabilities, and data feeds. We are seeking a Staff Data Scientist to build the foundations of this business and accelerate its growth, serving as technical lead for a small team of data scientists while remaining hands-on in building the models and systems behind our data products.
You’ll set the technical direction across audiences, measurement, and data feeds, and personally architect and build the models and systems behind them, from early prototypes through scalable production use. On the audience side, you’ll build predictive models that extend Fetch’s reach well beyond our own user base, shape the relevance and ranking approaches that match the right audiences to each advertiser’s goals, and apply those capabilities to in-product work as well. On the measurement side, you’ll own the frameworks that turn campaign data into trusted proof of sales impact, using causal inference to separate true advertising effects from noise.
You’ll also set the quality bar for your team through hands-on mentorship and rigorous reviews, champion our methodology with customers, partners, and industry leaders, and align senior leaders around clear, decisive recommendations. You’ll build strong partnerships across product, engineering, and Go-to-Market teams to help establish Fetch’s approach as a trusted market standard.
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
- Lead a small team of data scientists as technical lead, owning the quality and delivery of the team's work.
- Set the technical direction and roadmap across audiences, measurement, and data feeds, partnering with product and engineering on the design, quality, and coverage of the data delivered to partners.
- Architect and build the models and systems behind our data products.
- Develop data scientists in causal inference, predictive modeling, and clear communication.
- Build predictive models that identify likely buyers and extend audiences beyond Fetch's user base.
- Shape relevance and ranking approaches that match the right audiences to advertiser goals.
- Define how audience quality is evaluated and articulate what differentiates Fetch audiences in a crowded market.
- Extend these models to in-product use cases, such as acquiring high-value users for Fetch.
- Own the measurement frameworks that connect ad exposure to verified conversions using Fetch data, and turn one-off analyses into repeatable, scalable products.
- Drive the application of causal inference and experimental design to establish whether advertising drove outcomes.
- Champion our methodology with customers, partners, and industry leaders, anticipating the challenges they will raise.
- Establish our approach as a trusted market standard through clear documentation and evangelism.
- Align senior leaders around clear, decisive recommendations on strategy and tradeoffs.
- Develop strong partnerships across product, engineering, and Go-to-Market teams, including sales and business development.
- Carry work from prototype to production alongside ML engineering, data engineering, and platform teams.
- Spot gaps others haven't, build alignment across stakeholders, and sustain momentum on long-running initiatives.
In your Toolbox
- 8+ years of total experience in data science or applied statistics, including 3+ years of industry experience building ads platform capabilities, such as audience products or measurement systems.
- Strong statistical foundation, with deep expertise in causal inference and advertising measurement.
- Hands-on experience building and architecting predictive modeling systems for advertising as well as relevance and ranking systems.
- Experience building systems that run beyond a prototype, with the ability to partner with engineering to take them into production.
- Experience leading or mentoring other data scientists, including setting technical direction and reviewing the quality of their work.
- Experience leveraging modern analytics tooling such as Python, SQL, Snowflake, and dbt.
- A clear track record of influencing senior leadership and partnering with product and engineering stakeholders.
- Clear and decisive written and verbal communication, including the ability to explain complex methodology to non-technical audiences.
- Demonstrated initiative in identifying problems others haven’t and driving them to resolution across teams.
- Demonstrated ability to evaluate AI tools critically and apply them where they meaningfully improve results.
- Bachelor’s degree in a quantitative field.
Nice to Haves
- Advanced degree in a quantitative discipline.
- Experience with off-platform and programmatic advertising or identity.
- Experience defending measurement or audience methodology in conversations with external customers or industry partners.
- Experience partnering with GTM, sales, or business development teams.
- Experience with retail or CPG purchase data.
Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. 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 pets.
- Continuing Education: Fetch provides ten thousand per year in education reimbursement.
- Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
- Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break.
- Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
- Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
- Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)
Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential.
Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at [email protected].
Skills Required
- 8+ years of total experience in data science or applied statistics
- 3+ years of industry experience building advertising platform capabilities, such as audience products or measurement systems
- Strong statistical foundation with deep expertise in causal inference and advertising measurement
- Hands-on experience building and architecting predictive advertising models, relevance systems, and ranking systems
- Experience taking systems beyond prototypes into production in partnership with engineering
- Experience leading or mentoring data scientists, setting technical direction, and reviewing work quality
- Experience with Python, SQL, Snowflake, and dbt
- Track record of influencing senior leadership and partnering with product and engineering stakeholders
- Clear written and verbal communication for explaining complex methodology to nontechnical audiences
- Initiative identifying problems and driving cross-team resolutions
- Ability to critically evaluate and apply AI tools
- Bachelor’s degree in a quantitative field
- Advanced degree in a quantitative discipline
- Experience with off-platform or programmatic advertising or identity
- Experience defending measurement or audience methodology with external customers or industry partners
- Experience partnering with go-to-market, sales, or business development teams
- Experience with retail or CPG purchase data
Fetch Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fetch and has not been reviewed or approved by Fetch.
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Healthcare Strength — Benefits information points to comprehensive medical, dental, vision, and life insurance coverage. Feedback suggests employees value the strong health offerings alongside mental-health support.
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Leave & Time Off Breadth — Policies include flexible or unlimited PTO, paid holidays and sick days, bereavement (including pet) and natural-disaster leave. Feedback suggests time-off breadth is a standout element of the package.
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Wellbeing & Lifestyle Benefits — Wellness programs, 1:1 coaching, Gympass, team workouts, and nutrition counseling are provided. Office and remote perks such as home-office stipends, snacks, and pet-friendly spaces further enhance lifestyle support.
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The Company
What We Do
Through Fetch Points, the platform transforms everyday actions into rewarding moments, with more than $1 billion in Fetch Points awarded to date. Every day, more than 13 million receipts are submitted on Fetch, creating visibility into $212 billion in gross merchandise value and delivering the largest retail-agnostic, SKU-level view of household spending. This unmatched dataset powers Fetch as an outcomes-based advertising platform that acquires and retains lifelong consumers.
Why Work With Us
At Fetch, we back your ambition. You’ll have the scope, trust, and opportunity to turn bold ideas into meaningful impact for millions of people. Our builder-minded, high-agency, low-ego culture gives you room to shape what comes next and grow in ways that last, all while helping people live rewarded.
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