Staff Data Scientist, Product

Fetch; United States; Remote; CAD 150,000 - 230,000; Full time

Job summary

Fetch seeks a Staff Data Scientist to lead a small team and own the data products behind our off-platform advertising capabilities. You will architect models for audiences, measurement, and data feeds, and guide production-grade systems with a focus on causal inference and reliable outcomes.

You will mentor peers, collaborate with product, platform, and GTM teams, and drive strategic technical decisions that scale Fetch’s data products across partners and customers.

Qualifications

• 8+ years in data science or applied statistics with 3+ years in ads platform capabilities.
• Strong stats foundation with causal inference and advertising measurement expertise.
• Hands-on in predictive modeling, audiences, and measurement systems.
• Experience taking models to production with engineering collaboration.
• Proven ability to mentor data scientists and set technical direction.
• Proficient with Python, SQL, Snowflake, and dbt in modern analytics stacks.
• Clear track record influencing senior leadership and product partners.
• Excellent written and verbal communication; able to explain complex methods.

Responsibilities

• Lead a small data science team as technical lead, ensuring high-quality delivery.
• Set direction across audiences, measurement, and data feeds with product/engineering.
• Architect and build models and systems behind data products.
• Mentor data scientists in causal inference and predictive modeling.
• Develop audience quality measures and differentiate Fetch in the market.
• Extend models to in-product use cases and high-value user acquisition.
• Own measurement frameworks linking ad exposure to verified conversions.
• Drive causal inference and experimental design to prove outcomes.

Skills

Causal inference

Advertising measurement

Predictive modeling

Production systems

Python

SQL

Snowflake

dbt

Leadership

Communication

Education

Bachelor's degree in a quantitative field

Advanced degree preferred

Tools

Snowflake

dbt

Python

SQL

Job description

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.

What you’ll do at Fetch:

• 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 Qualifications:

• 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 Qualifications:

• 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.

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 incorporate artificial intelligence ("AI") capabilities to support certain activities within our recruiting and hiring process:

• Reviewing and organizing applications and resumes to help our recruiting team manage high volumes of submissions, including automated review of fraud signals to identify bad actors;
• Identifying candidates whose stated qualifications and experience appear relevant to an open position;
• Scheduling and coordinating interviews with candidates;
• Generating interview summaries or notes to assist recruiters and hiring managers in their review; and
• Conducting research on open roles and candidate pools to improve the effectiveness of our recruiting practices.

Fetch does not use AI tools to make hiring decisions. All decisions regarding whether to advance a candidate, extend an offer, or decline an application are made by Fetch employees, who are predominantly members of our Talent Acquisition team and relevant Hiring Managers. AI tools serve only to assist the process of recruiting talent and to inform the human review of candidate information. In no way does Fetch allow AI systems to make, finalize, or override any employment decision.

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.