Fetch

Staff Data Scientist, Data Products

US - Remote

Live, first seen by us 21 days ago

Pay: Pay not listedSimilar roles state $118K–$193K
Work setting: Remote — work setting source
Listed location: US - Remote
Read the full posting
Employment: Employment terms need review — employment source
You’ll also set the quality bar for your team through hands-on mentorship and rigorous reviews, champion our methodology with customers, partners, and industry leaders, and align senior leaders around clear, decisive recommendations. You’ll build strong partnerships across product, engineering, and Go-to-Market teams to help establish Fetch’s approach as a trusted market standard. This is a full-time role that can be held from one of our US offices or remotely in the United States. Role Responsibilities:
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting

Fetch’s off-platform data business monetizes our data beyond the app through audience segments, measurement capabilities, and data feeds.

Lead and mentor a small team of data scientists, reviewing their work
Build predictive models that identify likely buyers and extend audiences
Shape relevance and ranking approaches that match audiences to advertiser goals
Own measurement frameworks linking ad exposure to verified conversions
Apply causal inference and experimental design to test whether ads drove outcomes

From the employer’s posting

Fetch’s off-platform data business monetizes our data beyond the app through audience segments, measurement capabilities, and data feeds. We are seeking a Staff Data Scientist to build the foundations of this business and accelerate its growth, serving as technical lead for a small team of data scientists while remaining hands-on in building the models and systems behind our data products.

You’ll set the technical direction across audiences, measurement, and data feeds, and personally architect and build the models and systems behind them, from early prototypes through scalable production use. On the audience side, you’ll build predictive models that extend Fetch’s reach well beyond our own user base, shape the relevance and ranking approaches that match the right audiences to each advertiser’s goals, and apply those capabilities to in-product work as well. On the measurement side, you’ll own the frameworks that turn campaign data into trusted proof of sales impact, using causal inference to separate true advertising effects from noise.

serving as technical lead for a small team of data scientists

Build predictive models that identify likely buyers and extend audiences beyond Fetch's user base.

Shape relevance and ranking approaches that match the right audiences to advertiser goals.

Own the measurement frameworks that connect ad exposure to verified conversions using Fetch data

Drive the application of causal inference and experimental design to establish whether advertising drove outcomes.

What you’ll bring

All qualifications

Core experience

8+ years of total experience in data science or applied statistics, including 3+ years of industry experience building ads platform capabilities, such as audience products or measurement systems.
Hands-on experience building and architecting predictive modeling systems for advertising as well as relevance and ranking systems.
Experience building systems that run beyond a prototype, with the ability to partner with engineering to take them into production.
Experience leading or mentoring other data scientists, including setting technical direction and reviewing the quality of their work.
Experience leveraging modern analytics tooling such as Python, SQL, Snowflake, and dbt.
Demonstrated ability to evaluate AI tools critically and apply them where they meaningfully improve results.

Preferred experience

Experience with off-platform and programmatic advertising or identity.
Experience defending measurement or audience methodology in conversations with external customers or industry partners.
Experience partnering with GTM, sales, or business development teams.
Experience with retail or CPG purchase data.

Qualification wording

8+ years of total experience in data science or applied statistics, including 3+ years of industry experience building ads platform capabilities, such as audience products or measurement systems.

Hands-on experience building and architecting predictive modeling systems for advertising as well as relevance and ranking systems.

Experience building systems that run beyond a prototype, with the ability to partner with engineering to take them into production.

Experience leading or mentoring other data scientists, including setting technical direction and reviewing the quality of their work.

Experience leveraging modern analytics tooling such as Python, SQL, Snowflake, and dbt.

Demonstrated ability to evaluate AI tools critically and apply them where they meaningfully improve results.

Experience with off-platform and programmatic advertising or identity.

Experience defending measurement or audience methodology in conversations with external customers or industry partners.

Experience partnering with GTM, sales, or business development teams.

Experience with retail or CPG purchase data.

Education & alternatives

- Demonstrated ability to evaluate AI tools critically and apply them where they meaningfully improve results. - Bachelor’s degree in a quantitative field. Preferred Requirements:

Apply at Fetch

Posting record

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Status in our records: Live
First seen by us: Oct 14, 202621 days ago
Recorded sightings: 35
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 21

Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

Fetch is hiring

29 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Scientist hiring is picking up
Takes jobs down at a usual pace

Hiring record

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Where the posting names them

- Experience leading or mentoring other data scientists, including setting technical direction and reviewing the quality of their work. - Experience leveraging modern analytics tooling such as Python, SQL, Snowflake, and dbt. - A clear track record of influencing senior leadership and partnering with product and engineering stakeholders.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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:

Fetch’s off-platform data business monetizes our data beyond the app through audience segments, measurement capabilities, and data feeds. We are seeking a Staff Data Scientist to build the foundations of this business and accelerate its growth, serving as technical lead for a small team of data scientists while remaining hands-on in building the models and systems behind our data products.

You’ll set the technical direction across audiences, measurement, and data feeds, and personally architect and build the models and systems behind them, from early prototypes through scalable production use. On the audience side, you’ll build predictive models that extend Fetch’s reach well beyond our own user base, shape the relevance and ranking approaches that match the right audiences to each advertiser’s goals, and apply those capabilities to in-product work as well. On the measurement side, you’ll own the frameworks that turn campaign data into trusted proof of sales impact, using causal inference to separate true advertising effects from noise.

You’ll also set the quality bar for your team through hands-on mentorship and rigorous reviews, champion our methodology with customers, partners, and industry leaders, and align senior leaders around clear, decisive recommendations. You’ll build strong partnerships across product, engineering, and Go-to-Market teams to help establish Fetch’s approach as a trusted market standard.

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

Role Responsibilities:

Lead a small team of data scientists as technical lead, owning the quality and delivery of the team's work.
Set the technical direction and roadmap across audiences, measurement, and data feeds, partnering with product and engineering on the design, quality, and coverage of the data delivered to partners.
Architect and build the models and systems behind our data products.
Develop data scientists in causal inference, predictive modeling, and clear communication.
Build predictive models that identify likely buyers and extend audiences beyond Fetch's user base.
Shape relevance and ranking approaches that match the right audiences to advertiser goals.
Define how audience quality is evaluated and articulate what differentiates Fetch audiences in a crowded market.
Extend these models to in-product use cases, such as acquiring high-value users for Fetch.
Own the measurement frameworks that connect ad exposure to verified conversions using Fetch data, and turn one-off analyses into repeatable, scalable products.
Drive the application of causal inference and experimental design to establish whether advertising drove outcomes.
Champion our methodology with customers, partners, and industry leaders, anticipating the challenges they will raise.
Establish our approach as a trusted market standard through clear documentation and evangelism.
Align senior leaders around clear, decisive recommendations on strategy and tradeoffs.
Develop strong partnerships across product, engineering, and Go-to-Market teams, including sales and business development.
Carry work from prototype to production alongside ML engineering, data engineering, and platform teams.
Spot gaps others haven't, build alignment across stakeholders, and sustain momentum on long-running initiatives.

Minimum Requirements:

8+ years of total experience in data science or applied statistics, including 3+ years of industry experience building ads platform capabilities, such as audience products or measurement systems.
Strong statistical foundation, with deep expertise in causal inference and advertising measurement.
Hands-on experience building and architecting predictive modeling systems for advertising as well as relevance and ranking systems.
Experience building systems that run beyond a prototype, with the ability to partner with engineering to take them into production.
Experience leading or mentoring other data scientists, including setting technical direction and reviewing the quality of their work.
Experience leveraging modern analytics tooling such as Python, SQL, Snowflake, and dbt.
A clear track record of influencing senior leadership and partnering with product and engineering stakeholders.
Clear and decisive written and verbal communication, including the ability to explain complex methodology to non-technical audiences.
Demonstrated initiative in identifying problems others haven’t and driving them to resolution across teams.
Demonstrated ability to evaluate AI tools critically and apply them where they meaningfully improve results.
Bachelor’s degree in a quantitative field.

Preferred Requirements:

Advanced degree in a quantitative discipline.
Experience with off-platform and programmatic advertising or identity.
Experience defending measurement or audience methodology in conversations with external customers or industry partners.
Experience partnering with GTM, sales, or business development teams.
Experience with retail or CPG purchase data.

Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.

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