Senior Data Scientist

We are looking for a Senior Data Scientist to join Fetch, a platform that rewards consumers for everyday purchases and provides brands with insights to drive loyalty and growth.

Every month, millions of people use Fetch’s Rewards App to earn points for buying brands they love. To date, we’ve delivered more than $1 billion in rewards and earned more than 5 million five‑star reviews from users. Fetch is backed by investors like Soft Bank and partners with both challenger and Fortune 500 brands. We’re reshaping how brands and consumers connect, using data and AI to drive smarter, faster work and create lifelong consumers.

Our engineering philosophy emphasizes innovation, adaptability, and informed decision‑making. We demand proactive problem‑solving, high technical standards, and a culture rooted in trust, accountability, and innovation.

Fetch is at a major inflection point in leveraging data to drive business growth. We are looking for a Senior Data Scientist to architect and operationalize production‑ready models that power our product strategy, personalization systems, and business outcomes. You’ll partner across Product, Engineering, Marketing, and Data Product to turn complex datasets into measurable impact through experimentation, predictive modeling, and data‑driven decisions.

• Design, build, and deploy predictive and causal models that power personalization, retention, and monetization strategies.
• Apply advanced statistical methods, including Bayesian inference, causal impact analysis, and hierarchical modeling, to guide decision‑making.
• Develop and operationalize experimentation and measurement frameworks that ensure accurate attribution and reproducibility across Fetch’s products.

• Quantify the impact of key business and product initiatives, translating complex model outputs into actionable insights.
• Design and analyze experiments that test hypotheses about user behavior, product features, and marketing initiatives.
• Establish metrics and analytical frameworks that measure Fetch’s progress toward strategic growth and retention goals.

• 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 that drive executive understanding and action.
• Mentor and collaborate with peers to strengthen Fetch’s scientific rigor, data culture, and analytical storytelling capabilities.

• Leverage tools and technologies such as 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 Fetch’s use of AI/ML tools for automation, documentation, and anomaly detection, emphasizing validation and responsible use.

• 5+ 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 proficiency in SQL 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.

• 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…