Senior Data Scientist II, Relevance & Ranking

Responsibilities

You will own the data science strategy and roadmap for ranking and relevance, partnering with engineering and product teams to optimize marketplace outcomes. This involves designing experiments, building measurement frameworks, and translating complex business goals into actionable ranking improvements.

Requirements

The role requires 8+ years of experience in data science or machine learning with a strong background in ranking, relevance, or recommendation systems. Candidates must possess advanced proficiency in SQL, Python, and large-scale data systems, along with a proven track record of influencing product strategy.

Skills

• Data Science
• Machine Learning
• Ranking
• Relevance
• Experimentation
• Python
• SQL
• Snowflake
• Dbt
• Airflow
• Spark
• AWS
• Marketplace Analytics
• Statistical Modeling
• Product Strategy
• Stakeholder Management

Benefits

• Equity
• Paid time off
• Holidays

About this role

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.

As the team's dedicated data scientist, you'll own the data science strategy for
relevance and ranking, working closely with engineers on models that drive user
engagement, rewards earned, and partner economic outcomes. You'll build
frameworks that balance advertiser incrementality and delivery, user relevance
and retention, and platform revenue, reward costs, and margin.

You'll be the core data science partner across the go-to-market, offer
development, and offer delivery teams, translating commercial goals into
measurable objectives, product requirements, and ranking improvements. You'll
shape senior stakeholder decisions on launch, iteration, or stopping, and mentor
others while establishing reusable methods that improve the team's scientific
quality and execution.

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 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.).

Fetch may use technology tools that...

About Fetch

Technology, Information and Internet · 501-1,000 employees · headquartered in Hybrid-remote workplace · founded 2013