Senior Data Scientist, Fetch
$159.9-188.2k
+ Equity
Mobile shopping and rewards platform
Be an early applicant
Mobile shopping and rewards platform
1001+ employees
Be an early applicant
$159.9-188.2k
+ Equity
1001+ employees
Company mission
To empower consumers to live rewarded and help brands create lifelong customers through the power of Fetch Points.
Role
Who you are
- 5+ years of experience in data science, machine learning, or applied analytics, with demonstrated ownership of complex analytical problems in product-driven environments
- Strong expertise in statistical modeling, experimental design, and causal inference
- Experience owning KPIs, measurement, or analytics for a product or business area and translating findings into actionable recommendations
- Demonstrated ability to structure ambiguous business problems and connect analytical findings to business drivers such as revenue, cost, conversion, retention, or user behavior
- Strong proficiency in SQL and at least one programming language, preferably Python
- Experience working with large-scale data systems such as Snowflake, dbt, Airflow, or Spark
- Proven ability to communicate complex technical insights, trade-offs, and confidence levels to technical and non-technical stakeholders
- Ability to work independently while navigating cross-functional dependencies and escalating broader trade-offs appropriately
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field
Desirable
- Advanced degree in a quantitative discipline
- Experience deploying or operationalizing predictive or statistical models
- Background in consumer products, with experience using data to understand user behavior and inform engagement, retention, monetization, or other key customer outcomes
- Experience building frameworks that improve experimentation velocity and decision quality
- Familiarity with privacy-preserving data modeling and compliance standards such as GDPR or CCPA
- Experience mentoring junior data scientists, analysts, or interns
What the job involves
- We are seeking a Senior Data Scientist to serve as a key analytical partner within Fetch, owning complex analyses and measurement frameworks that inform product and business decisions
- You will take primary analytical ownership of a product or business area, defining and monitoring core KPIs, identifying opportunities, and using experimentation, statistical modeling, and data-driven recommendations to improve user and business outcomes
- You will partner cross-functionally with Product, Engineering, Marketing, and Data Product teams to turn ambiguous business questions into structured analytical approaches and actionable recommendations
- Success in this role requires strong technical judgment, the ability to balance analytical rigor with business urgency, and the ability to connect data and model outputs to the underlying drivers of revenue, cost, and user behavior
- Over time, you will take on increasingly sophisticated modeling and business case development while helping strengthen data literacy and analytical rigor across your team
- Analytics & Modeling
- Independently design and execute complex analyses, statistical models, and measurement frameworks that inform product and business decisions
- Apply statistical methods such as experimental design, causal inference, predictive modeling, and Bayesian approaches based on the needs of the problem
- Translate ambiguous business questions into structured analytical approaches, identifying the appropriate metrics, methodologies, and data required
- Make thoughtful trade-offs between rigor, speed, precision, and practicality based on the business decision at hand
- Business Impact & Experimentation
- Act as the primary analytical owner for a product or business area, defining and maintaining its core KPIs and measurement frameworks
- Proactively identify opportunities where analytics and experimentation can improve user behavior, revenue, conversion, retention, cost efficiency, or other key outcomes
- Design and analyze experiments, partnering with Product and Engineering to influence experimentation strategy and decision-making
- Connect metric movements and analytical findings to underlying business drivers, clearly articulating implications and recommended actions
- Quantify the impact of product and business initiatives and use those insights to influence roadmap and prioritization decisions
- Collaboration & Influence
- Partner closely with Product, Engineering, Marketing, and Data Product stakeholders to inform team-level product and business decisions
- Communicate complex analyses through clear narratives and visualizations, including assumptions, trade-offs, confidence levels, and expected business impact
- Translate technical and analytical concepts for non-technical partners and navigate cross-functional dependencies effectively
- Increase data literacy by making metrics, analyses, and recommendations accessible and actionable for stakeholders
- Informally mentor junior data scientists and analysts, helping strengthen their technical judgment and analytical approaches
- Technical Excellence
- Leverage tools and technologies such as Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to conduct and scale analytical work
- Apply strong practices in experimentation, model validation, reproducibility, and governance
- Use AI/ML tools thoughtfully to improve analytical workflows, automation, documentation, and anomaly detection while maintaining appropriate validation
Our take
Leading mobile shopping and loyalty platform Fetch has seen explosive success in recent years. Its concept is simple: users receive spendable points in exchange for scans of their shopping receipts.
The app has tens of millions of daily active users with even more downloads, and has seen impressive growth, having now reached 'unicorn' status twice over. This should come as no surprise. Brand reinforcement is crucial to customer retention and acquisition - but it is harder than ever, with the fragmentation of choice on the market and the declining efficacy of marketing. So material loyalty benefits are likely to prove a crucial tool in creating and leveraging a strong customer base.
Whilst Fetch faces competition from similar receipt-scan rewards platforms like ReceiptPal and Ibotta, it grew into a profitable company in late 2023. And its using its most recent Morgan Stanley-backed funding to aggressively add brand partners at a competitive pace and onboard staff at a level that promises strong continued growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Apr 2022
$120m
SERIES E
Mar 2021
$210m
SERIES D
Total funding: $456.6m
Company benefits
- Equity: Hop on the rocketship and have your own stake in Fetch's success with generous equity.
- 401k Match: Fetch matches 100% of the first 4% of your 401(k) contribution.
- People Benefits: Enjoy a competitive suite of ebenfits to promote health for you and your family,. Medical, Dental, and Vision insurance. Flexible Spending Accounts & Health Savings Account, with automatic employer HSA contributions per pay period. Family forming benefit with $10k lifetime stipend.
- Pet Benefits: We know your furry friends are family, too. Pet insurance is fully covered for your first pet.
- Continuing Education: Fetch provides $10,000+/year in education reimbursement support for job-related courses or programs.
- Flexible Paid Time Off: At Fetch, you'll plan your time off as you see fit with our flexible PTO policy. On top of our flexible PTO, Fetch observes 9 paid holidays as well as a year-end-week-long break.
- Robust Leave Policies: Fetch offers generous leave time for health and personal needs, including 20 weeks of parental leave for primary caregivers and 14 weeks for secondary caregivers + $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
- Flexible Work Environment: Experience our beautiful work spaces, or get things done from the comfort of your couch. Choose what's best for each day.
Leadership
Wes Schroll
(Co-Founder & CEO)Co-founded Fetch while an undergrad at UW-Madison and grew the company into the nation's No. 1 rewards app, connecting millions of consumers with their favorite brands.
Tyler Kennedy
(Co-Founder & SVP of Operations)Studied Business Administration at the University of Wisconsin-Madison. Founded his first company, Baker's Marine Services, a yacht detailing company, when they were only fourteen.
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