Fetch helps people live rewarded, with a vision to create the rewards destination for everyone.
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.
The Fetch app is available for download on the App Store and Google Play and has earned more than 6 million five-star reviews.

Fetch

data-scientist

Fetch is a consumer mobile rewards app that lets users scan receipts to earn points that can be redeemed for gift cards and other rewards. The app awards points for everyday purchases (groceries, fuel, meals, games, etc.), offers in-app games and promotions, and provides a business-facing offering (Fetch for Business) and browser extension. Fetch reports millions of monthly earners, millions of app reviews, and over $1B in rewards redeemed. The service emphasizes easy receipt scanning, point accumulation, and low-effort rewards for shoppers.

Fetch helps people live rewarded, with a vision to create the rewards destination for everyone. 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.

The Fetch app is available for download on the App Store and Google Play and has earned more than 6 million five-star reviews.

• Independently design, execute, and interpret product experiments for feature development, including power analysis, primary metrics, and guardrails
• Frame causal questions by defining populations, outcomes, and time horizons
• Define KPI frameworks linking product objectives to primary, secondary, and guardrail metrics
• Recommend launch, iterate, or stop based on effect size, uncertainty, user value, and business impact
• Turn ambiguous product questions into structured, credible analysis
• Connect metric movements to behavioral drivers and assess alternative explanations
• Use product analytics to understand user journeys and retention drivers
• Evaluate effects across user segments and distinguish novelty from persistent long-term value
• Develop predictive models for lifecycle intervention systems
• Partner with Engineering to integrate predictive signals into treatment delivery
• Use experiments to determine whether targeting improves retention, monthly active users, and revenue
• Build narratives translating findings into product action and influence priorities and launch decisions
• Produce reusable analyses and share analytical knowledge across the team
• Use Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to build reliable analyses and modeling workflows
• Collaborate with Product, Engineering, and Design to shape KPIs, success criteria, guardrails, and product decisions

Senior Data Scientist – Growth & Engagement

Senior Data Scientist using experiments and predictive models to improve retention and engagement at Fetch. Shaping lifecycle interventions and product decisions for its rewards and advertising platform.

• Independently own a company-wide KPI, modeling, or measurement workstream through delivery and adoption
• Contribute to the core company KPI framework, including its driver tree and sensitivity model
• Contribute analysis to planning and points allocation
• Define certified metrics and resolve conflicting definitions with partners
• Build KPI trees and decompositions connecting product and business drivers to MAU, retention, ARPU, revenue, and margin
• Model KPI drivers and quantify direction, sensitivity, predictive strength, and time horizon of KPI-to-North-Star relationships
• Distinguish arithmetic identities, predictive associations, and causal effects
• Build scenarios and translate company goals into workstream targets
• Apply established observational causal methods with diagnostics and robustness checks, making identification assumptions explicit
• Build reproducible diagnostics and analytical tools grounded in certified data
• Evaluate the accuracy, adoption, and sustained value of deliverables
• Build reproducible, tested analytical workflows in SQL and Python
• Partner with Data Engineering on gold tables, data marts, and semantic layers
• Partner cross-functionally with Product and Engineering teams to drive adoption
• Make actionable recommendations and communicate sensitivity, assumptions, and uncertainty clearly
• Document and share reusable methods

Senior Data Scientist – Core

Senior Data Scientist building KPI frameworks and analytical models for Fetch’s consumer rewards and advertising platform. Connecting product drivers to retention, monetization, revenue, and margin.

• Define core data science priorities across teams and decide which questions and investments to pursue or decline
• Help deliver the core company KPI framework, including its driver tree and sensitivity modeling
• Lead reusable, company-wide analytical frameworks and automation
• Design, build, evaluate, and maintain agentic analytical workflows using certified metrics to investigate KPI changes and generate evidence-backed hypotheses
• Implement monitoring, failure handling, and human review where needed
• Design reusable frameworks with evaluation and evidence traceability
• Set definitions and targets for certified metrics and resolve conflicting definitions with partners
• Build KPI trees and decompositions connecting product and business drivers to MAU, retention, ARPU, revenue, and margin
• Select defensible models and quantify KPI-to-North-Star relationships
• Validate leading indicators out of sample and distinguish arithmetic identities, predictive associations, and causal effects
• Build scenarios and defensible team targets
• Set measurement standards and defend identification assumptions
• Select observational methods and use diagnostics and robustness checks
• Measure accuracy, adoption, reduced bespoke analysis, and time to decision
• Build reproducible, tested analytical workflows in SQL and Python
• Partner with Data Engineering on gold tables and data marts
• Shape leadership strategy and team accountability, aligning Finance and Product on targets and trade-offs
• Partner with Product, Finance, Commercial, and Engineering to drive adoption
• Communicate assumptions and uncertainty clearly
• Mentor scientists and establish reusable KPI, measurement, and modeling standards across teams

Senior Data Scientist II – Core & Agentic Automation

Senior Data Scientist building KPI frameworks and agentic analytical automation for Fetch’s rewards platform. Driving trusted metrics, causal measurement, and cross-functional business decisions.

Fetch helps people live rewarded, with a vision to create the rewards destination for everyone. 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. The Fetch app is available for download on the App Store and Google Play and has earned more than 6 million five-star reviews.

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Senior Data Scientist – Growth & Engagement

Fetch

Senior Data Scientist – Core

Fetch

Senior Data Scientist II – Core & Agentic Automation

Fetch