Staff Data Scientist, Data Products

Posted 1 day ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead a small team of data scientists in a technical leadership role, ensuring the quality and timely delivery of the team's output.

• Establish technical direction and a roadmap covering audiences, measurement, and data feeds.

• Collaborate with product and engineering teams to design and ensure the quality and coverage of data provided to partners.

• Architect and develop the models and systems that support data products.

• Mentor data scientists in causal inference, predictive modeling, and effective communication.

• Create predictive models to identify potential buyers and expand audiences beyond Fetch's user base.

• Develop relevance and ranking strategies to align audiences with advertiser objectives.

• Define audience quality assessments and communicate Fetch's audience distinctions.

• Adapt models for in-product applications, including strategies to acquire high-value Fetch users.

• Oversee measurement frameworks that connect ad exposure with verified conversions using Fetch data.

• Transform one-time analyses into repeatable and scalable products.

• Utilize causal inference and experimental design to determine the impact of advertising on outcomes.

• Advocate for methodology with customers, partners, and leaders in the industry.

• Position Fetch's approach as a trusted market standard through documentation and promotion.

• Align senior leadership with recommendations regarding strategy and trade-offs.

• Foster partnerships across product, engineering, and Go-to-Market teams, including sales and business development.

• Transition work from prototype to production alongside ML engineering, data engineering, and platform teams.

• Identify gaps, build stakeholder alignment, and maintain momentum on long-term initiatives.


⛳️ Requirements

• 8+ years of overall experience in data science or applied statistics, with a minimum of 3 years in the industry developing ad platform capabilities, such as audience products or measurement systems.

• Strong statistical background, with extensive knowledge in causal inference and advertising measurement.

• Practical experience in building and designing predictive modeling systems for advertising, as well as relevance and ranking systems.

• Proven experience in creating systems that extend beyond prototypes and collaborating with engineering to implement them in production.

• Experience in leading or mentoring fellow data scientists, including establishing technical direction and assessing work quality.

• Proficiency in Python, SQL, Snowflake, and dbt.

• History of influencing senior leadership and collaborating with product and engineering stakeholders.

• Strong written and verbal communication skills, including the ability to explain complex methodologies to non-technical audiences.

• Initiative in identifying issues and driving resolutions across teams.

• Capability to critically assess AI tools and apply them to enhance results meaningfully.

• Bachelor’s degree in a quantitative discipline.

• Preferred: Advanced degree in a quantitative field.

• Preferred: Experience with off-platform and programmatic advertising or identity solutions.

• Preferred: Background in defending measurement or audience methodologies with external clients or industry partners.

• Preferred: Experience collaborating with Go-to-Market, sales, or business development teams.

• Preferred: Familiarity with retail or CPG purchase data.


🏝️ Benefits

• Equity: We provide full-time employees with equity in Fetch, allowing everyone to share in Fetch's growth.

• 401(k): Fetch matches your contributions dollar for dollar, up to 4% of your eligible pay.

• Comprehensive medical, dental, and vision coverage for all employees, including pets.

• Continuing Education: Fetch offers $10,000 annually for education reimbursement.

• Employee Resource Groups focused on promoting a diverse and inclusive workplace through events, discussions, and advocacy.

• Flexible Paid Time Off (PTO).

• 9 paid holidays and a week-long break at the end of the year.

• 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 options available for U.S.-based roles.

• Necessary hardware and software provided for remote work.

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