Senior Data Scientist I, Core

OpenKrill; United States; Remote; USD 160,000 - 188,000; Full time

Benefits offered by this job

Equity in Fetch

401(k) matching

Medical, dental, and vision plans

Job summary

Fetch is seeking a senior data analytics professional in the United States to own trusted KPIs and modeling. You will collaborate with Product, Engineering, and Data Engineering to connect product activity to MAU, retention, ARPU, and revenue.

You will develop KPI frameworks, validate forecasts, and translate business goals into measurable workstreams, delivering dashboards and tools to empower decision-making across teams.

Qualifications

• 5+ years in data science, ML, or analytics with ownership of complex problems
• Experience defining KPIs and KPI hierarchies with multiple stakeholders
• Ability to structure complex work into actionable plans
• Proven track record of trusted metric definitions and adoption
• Experience building and validating models linking behavior to outcomes
• Ability to show sensitivity estimates and forecasting performance
• Experience with ML modeling, regression, causal inference, and graphs
• Strong SQL, Python, statistics, and forecasting skills
• Ship reusable dashboards, diagnostic apps, or analytical frameworks
• Document and share reusable methods

Responsibilities

• Own a company-wide KPI, modeling, or measurement workstream through delivery and adoption
• Contribute to core KPI framework, including driver tree and sensitivity model
• Contribute analysis to planning and resource allocation
• Define certified metrics and resolve conflicting definitions with partners
• Build KPI trees linking product and business drivers to MAU, retention, ARPU, revenue, and margin
• Model KPI drivers and quantify direction, sensitivity, predictive strength, and horizon
• Distinguish arithmetic identities, predictive associations, and causal effects
• Build scenarios translating company goals into workstream targets
• Apply observational causal methods with diagnostics and robustness checks
• Build reproducible diagnostics and analytical tools grounded in certified data
• Evaluate accuracy, adoption, and sustained value of what you build
• Develop reproducible, tested SQL and Python workflows
• Partner with Data Engineering on gold tables and semantic layers
• Collaborate with Product and Engineering to drive adoption
• Make actionable recommendations and communicate assumptions clearly

Skills

SQL

Python

Statistics

Causal inference

Forecasting

Experimentation

ML modeling

KPI frameworks

Data storytelling

Stakeholder management

Job description

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:

You’ll help Fetch run on rigorous performance standards and scalable self-service analytics. You’ll help deliver our core company KPI framework, including its underlying model, while leading reusable, company-wide analytical frameworks and automation.

The work centers on trusted metrics: standardizing how impact is measured and connecting product and business drivers to outcomes like MAU, retention, ARPU, revenue, and margin. You’ll validate forecasts and communicate sensitivity and uncertainty, so evidence turns into planning and operating decisions.

You’ll own defined KPIs, modeling, or measurement workstreams through delivery and adoption, make actionable recommendations, and translate company goals into workstream targets. You’ll work with cross-functional partners to build reproducible diagnostics and analytical tools, and document and share reusable methods with the team.

What You'll Do at Fetch:

• Independently own a company wide KPI, modeling, or measurement workstream through delivery and adoption
• Contribute to our 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 that connect product and business drivers to MAU, retention, ARPU, revenue, and margin
• Model KPI drivers and quantify the 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 what you build
• Build reproducible, tested analytical workflows in SQL and Python
• Partner with Data Engineering on gold tables, data marts, and semantic layers
• Partner with cross-functionally with teams such as Product and Engineering to drive adoption
• Make actionable recommendations and communicate sensitivity, assumptions, and uncertainty clearly

Minimum Qualifications:

• 5+ years of experience in data science, machine learning, or applied analytics, with demonstrated ownership of complex analytical problems in product-driven environments
• Experience working with multiple stakeholders to define KPIs and their hierarchy
• Ability to structure a complex space into a tackle-able project plan
• Track record of establishing trusted metric definitions and driving adoption across Product, Finance, Commercial, and Engineering
• Experience building and validating models that connect user behavior and business drivers to retention, monetization, or company outcomes
• Ability to show sensitivity estimates, leading indicators, time horizons, and out-of-sample predictive performance
• Experience using models in target setting or scenario planning while distinguishing prediction from causal impact
• Experience with ML modeling, including regression, causal inference methodology, and graph models
• Experience modeling multi-metric relationships
• Strong skills in SQL, Python, statistics, causal inference, and forecasting
• Track record of shipping reusable dashboards, diagnostic apps, or analytical frameworks with evidence of accuracy, adoption, and decision impact
• Experience building robust SQL/Python analytical assets and partnering on productionization
• Track record of documenting and sharing reusable methods
• Understanding of experimentation methodology sufficient to identify patterns, concerns, and frameworks that support product data scientists

Preferred Qualifications:

• Consumer product analytics experience connecting acquisition, activation, engagement, retention, and monetization
• Experience owning KPI frameworks, causal measurement, or business planning
• Experience in centralized or platform data science
• Experience with experimentation platforms
• Experience with governed self-service analytics

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

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 $159,945 - $188,171. 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 ever