Staff Data Scientist, Data Products

Job not on LinkedIn

🔥 17 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 15%

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Fetch

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

👥 B2C

📣 Marketing

🔥 Funding within the last year

💰 Later Stage VC on 2026-05

B2C • Marketing

Fetch is a consumer mobile rewards app that lets users scan receipts to earn points that can be redeemed for gift cards and other rewards. The app awards points for everyday purchases (groceries, fuel, meals, games, etc. ), offers in-app games and promotions, and provides a business-facing offering (Fetch for Business) and browser extension. Fetch reports millions of monthly earners, millions of app reviews, and over $1B in rewards redeemed. The service emphasizes easy receipt scanning, point accumulation, and low-effort rewards for shoppers.

📋 Description

• Lead a small team of data scientists as technical lead, owning the quality and delivery of the team’s work. • Set technical direction and roadmap across audiences, measurement, and data feeds. • Partner with product and engineering on the design, quality, and coverage of data delivered to partners. • Architect and build models and systems behind data products. • Develop data scientists in causal inference, predictive modeling, and clear communication. • Build predictive models identifying likely buyers and extending audiences beyond Fetch’s user base. • Shape relevance and ranking approaches matching audiences to advertiser goals. • Define audience-quality evaluation and articulate Fetch audience differentiation. • Extend models to in-product use cases, including acquiring high-value Fetch users. • Own measurement frameworks connecting ad exposure to verified conversions using Fetch data. • Turn one-off analyses into repeatable, scalable products. • Apply causal inference and experimental design to establish whether advertising drove outcomes. • Champion methodology with customers, partners, and industry leaders. • Establish Fetch’s approach as a trusted market standard through documentation and evangelism. • Align senior leaders around recommendations on strategy and tradeoffs. • Build 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. • Identify gaps, build stakeholder alignment, and sustain momentum on long-running initiatives.

🎯 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 and partnering with engineering to take them into production. • Experience leading or mentoring other data scientists, including setting technical direction and reviewing work quality. • Experience with Python, SQL, Snowflake, and dbt. • Track record of influencing senior leadership and partnering with product and engineering stakeholders. • Clear and decisive written and verbal communication, including explaining complex methodology to non-technical audiences. • Initiative identifying problems and driving them to resolution across teams. • Ability to evaluate AI tools critically and apply them where they meaningfully improve results. • Bachelor’s degree in a quantitative field. • Preferred: Advanced degree in a quantitative discipline. • Preferred: Experience with off-platform and programmatic advertising or identity. • Preferred: Experience defending measurement or audience methodology with external customers or industry partners. • Preferred: Experience partnering with GTM, sales, or business development teams. • Preferred: Experience with retail or CPG purchase data.

🏖️ Benefits

• 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. • Comprehensive medical, dental, and vision plans for everyone, including pets. • Continuing Education: Fetch provides ten thousand per year in education reimbursement. • Employee Resource Groups centered around fostering a diverse and inclusive workplace through events, dialogue, and advocacy. • Flexible PTO. • 9 paid holidays and a year-end week-long break. • 14 weeks of fully paid parental leave for all employees. • 6 additional weeks of paid childbirth recovery leave for birthing parents. • Flexible return-to-work schedule. • One-time $2,000 Calvin Care Cash incentive for employees welcoming new family members. • Flexible work environment with fully remote work from anywhere in the US for US-based roles. • Hardware and software provided for home working.

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