Senior Data Scientist II

Quick Facts

Senior Data Scientist

Description

Fetch is seeking a Senior Data Scientist to develop and scale data science capabilities. The role architects and operationalizes production-ready predictive and causal models and frameworks that directly influence product strategy, personalization systems, and business outcomes. You will partner with Product, Engineering, Marketing, and Data Product teams to turn complex datasets into measurable business impact through experimentation, predictive modeling, and data-driven decision-making.

What You’ll Do

Advanced Analytics & Modeling

• Design, build, and deploy predictive and causal models for personalization, retention, and monetization strategies.
• Apply advanced statistical methods including Bayesian inference, causal impact analysis, and hierarchical modeling.
• Develop and operationalize experimentation and measurement frameworks for accurate attribution and reproducibility.

Business Impact & Experimentation

• Quantify the impact of key business and product initiatives and translate model outputs into actionable insights.
• Design and analyze experiments testing hypotheses about user behavior, product features, and marketing initiatives.
• Establish metrics and analytical frameworks to measure progress toward strategic growth and retention goals.

Collaboration & Influence

• Partner closely with Product, Engineering, and Data Product teams to transform insights into scalable data products and intelligent systems.
• Communicate complex analyses through clear narratives and visualizations for executive understanding and action.
• Mentor and collaborate with peers to strengthen scientific rigor, data culture, and analytical storytelling capabilities.

Technical Excellence

• Leverage Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to build and scale robust data science solutions.
• Champion best practices in experimentation, model validation, reproducibility, and governance.
• Advance AI/ML tools for automation, documentation, and anomaly detection with validation and responsible use.

Requirements

• 8+ years of experience in data science, machine learning, or applied analytics with proven impact in product-driven environments.
• Deep expertise in statistical modeling, experimental design, and causal inference.
• Strong SQL proficiency and at least one programming language (Python preferred).
• Experience working with large-scale data systems such as Snowflake, dbt, Airflow, or Spark.
• Proven ability to communicate complex technical insights to non-technical stakeholders and drive strategic decision-making.
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.

Preferred Requirements

• Advanced degree (Master’s or Ph.D.) in a quantitative discipline.
• Experience deploying ML models into production and managing model lifecycle and performance.
• Background in consumer technology, ad tech, or personalization systems.
• Experience building frameworks that improve experimentation velocity and decision quality.
• Familiarity with privacy-preserving data modeling and compliance standards such as GDPR or CCPA.
• Mentorship experience or demonstrated leadership in scientific or analytical development.

Benefits

• Equity for full-time employees.
• 401k match: dollar-for-dollar up to 4%.
• Comprehensive medical, dental and vision plans including pets.
• Continuing education reimbursement: $10,000 per year.
• Employee Resource Groups.
• Flexible PTO, 9 paid holidays, and a year-end week-long break.
• Robust leave policies: 20 weeks paid parental leave (primary caregivers) and 14 weeks (secondary caregivers).
• Calvin Care Cash: one-time $2,000 incentive for welcoming new family members.
• Flexible work environment: office collaboration or fully remote across the United States (for most roles).