Senior Data Scientist II, Ranking & Relevance

OpenKrill; United States; Remote; USD 184,000 - 216,000; Full time

Job summary

Fetch is building a data-driven platform to optimize rewards and advertiser outcomes in a large-scale marketplace. We seek a senior data scientist to own the ranking and relevance analytics roadmap, partnering with Product, Engineering, and ML to improve long-term economics and user value.

You will design experiments, build scalable measurement frameworks, and mentor analysts while leveraging SQL, Python, Snowflake, dbt, Airflow, Spark, and AWS to drive impact across advertisers and users.

Qualifications

• 8+ years of data science, ML, or analytics in product-driven environments.
• Experience owning the analytical roadmap and experiments for ranking, relevance, or recommendations.
• Ability to explain which questions you prioritized, which work you declined, and why.
• Cross-functional collaboration with product, sales, and engineering.
• Experience defining a marketplace KPI framework and resolving advertiser–user–platform trade-offs.
• Proven ability to impact overall marketplace economics beyond a single metric.
• Experience designing measurement that accounts for selection bias, shared budgets, or spillovers.
• Ability to defend experiment design and its assumptions, addressing bias or interference.
• Experience mentoring analysts or scientists and building reusable assets.
• Strong modeling expertise and proficiency in SQL and Python.
• Experience with large-scale data systems such as Snowflake, dbt, Airflow, Spark, AWS.

Responsibilities

• Own the data science strategy and roadmap for ranking and relevance.
• Partner with engineers to improve ranking models end to end, from design to experimentation.
• Own experiment design and turn results into launch recommendations.
• Design measurement that holds up in a marketplace with advertiser interference.
• Apply observational methods when experiments aren’t possible and defend assumptions.
• Build marketplace frameworks balancing advertiser, user, and platform value.
• Quantify incremental gains and distinguish durable value from shifts between advertisers or time periods.
• Measure impact across user and advertiser segments and account for uncertainty.
• Shape targeting and investment strategy based on findings.
• Quantify commercial impact to guide senior leaders on priorities and product decisions.
• Serve as the core data science partner to commercial and offer teams.
• Communicate with technical and non-technical partners.
• Mentor others and build reusable methods to raise scientific quality.
• Leverage Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to scale analytical work.

Skills

Data science

Machine learning

Experiment design

Cross-functional collaboration

Modeling

SQL

Python

Tools

Snowflake

dbt

Airflow

Spark

AWS

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 own the analytical and experimentation roadmap for ranking and relevance at Fetch, partnering with Product, Engineering, and ML to improve advertiser outcomes, user value, and Fetch’s long-term economics.

What You’ll Do at Fetch:

• Own the data science strategy and roadmap for ranking and relevance as the team's dedicated data scientist
• Partner closely with engineers to improve ranking models end to end, from defining what the model should optimize through experimentation
• Own experiment design and turn results into clear launch recommendations
• Design measurement that holds up in a marketplace, where bias and interference between advertisers can distort results
• Apply rigorous observational methods when experiments aren't possible, and defend the assumptions behind them
• Build marketplace frameworks that balance advertiser, user, and platform value with clear success criteria and guardrails for the trade-offs
• Separate true incremental gains from value that's simply shifted between advertisers, surfaces, or time periods
• Measure how changes impact different user and advertiser segments, distinguishing durable value from short-term lift
• Use findings to shape targeting and investment strategy, accounting for uncertainty
• Quantify commercial impact to guide senior leaders on priorities and product decisions
• Serve as the core data science partner to commercial and offer teams, turning business goals into measurable objectives and ranking improvements
• Communicate with technical and non-technical partners alike
• Mentor others and build reusable methods that raise the team's scientific quality and execution
• Leverage tools and technologies such as Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to conduct and scale analytical work

Minimum Qualifications:

• 8+ years of experience in data science, machine learning, or applied analytics, with demonstrated ownership of complex analytical problems in product-driven environments
• Experience owning the analytical roadmap and experiments for ranking, relevance, or recommendations
• Ability to explain which questions you prioritized, which work you declined, and why
• Cross-functional collaboration experience where product, sales, and engineering are all factors in your daily work
• Experience defining a marketplace KPI framework and resolving advertiser–user–platform trade-offs
• Track record of looking beyond a single metric's improvement to its effect on overall marketplace economics
• Experience designing measurement that accounts for selection bias, shared budgets, or spillovers
• Ability to defend experiment design and its assumptions, addressing selection bias, interference, or observational identification
• Demonstrated incremental, persistent business impact
• Track record of influencing strategy or launch decisions
• Examples of redirecting, pausing, or stopping initiatives based on quantified trade-offs
• Experience building reusable analytical assets and mentoring other analysts or scientists
• Strong modeling expertise
• 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

Preferred Qualifications:

• Substantial experience with advertiser-funded consumer marketplaces, retail media, or ad platforms balancing advertiser, user, and platform incentives
• Experience in ad ranking or product search and ranking
• Consumer product analytics experience connecting behavior to retention and monetization

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 $183,665-$216,077. 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 contribut