Leads a small data science team while remaining hands-on in building advertising audience, measurement, ranking, and data-feed models and systems. Owns technical direction, causal inference frameworks, predictive modeling, experimentation, and productionization. Mentors scientists, partners with product, engineering, sales, and business development, communicates methodology to customers and executives, and establishes scalable standards for measuring advertising impact.
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 & DataAI & 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 or any Canadian province (excluding Quebec), subject to appropriate work authorization. Canadian employment, if applicable, would be through Fetch’s Canadian Employer of Record.
Benefits for Canada-based employees may differ slightly to comply with applicable law(s) (e.g., paid time off, Holidays, etc.).
Role Responsibilities:
- 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.
Minimum Requirements:
- 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.
Preferred Requirements:
- 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.
- 401(k): Fetch will match your contributions dollar for dollar, up to 4% of your eligible pay.
- 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. (Holidays will vary for Canada-based roles)
- Robust Leave Policies: 14 weeks of fully paid parental leave for all employees, plus 6 additional weeks of paid childbirth recovery leave for birthing parents, 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 for US-based roles. 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].
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the technical direction and implementation of large-scale SaaS product features. Build secure, reliable, maintainable, well-tested software; evaluate architectural trade-offs; debug team inefficiencies; and contribute to code reviews, documentation, and complex bug fixes. Collaborate across product, design, and engineering, influence strategy, identify organizational blockers, mentor engineers, and improve engineering practices around testing, performance, security, privacy, and reliability.
Top Skills:
AWSDistributed SystemsJavaKotlinMicroservicesObservability ToolsSaaS
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provides customer service and sales support in a luxury retail store. Responsibilities include operating POS systems, handling cash, assisting customers, promoting products and gift cards, processing shipments, replenishing inventory, maintaining stockrooms and sales floors, executing visual merchandising updates, and following loss-prevention and housekeeping standards. Requires flexible availability, physical ability to handle merchandise, and strong communication and organizational skills.
Top Skills:
InternetIpadLaptopMobile PosPos SystemsWalkie-Talkie
Cloud • Information Technology • Security • Software • Cybersecurity
Drive new business for Cloudflare’s Enterprise service by prospecting and qualifying commercial accounts, executing territory plans, achieving revenue targets, articulating technical value propositions, negotiating contracts, managing the sales pipeline, building strategic customer and partner relationships, and ensuring customer satisfaction. The role requires at least three years of direct technical sales experience, networking knowledge, and the ability to engage technical and executive stakeholders.
Top Skills:
Cloud ComputingCybersecurityIaasNetworkingPaasSaaS
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
