Senior Data Scientist II

Fetch; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Fetch is seeking a Senior Data Scientist to design, operationalize production-grade models, and influence product strategy through data-driven decisions. You will partner with Product, Engineering, Marketing, and Data teams to turn complex datasets into measurable business impact via experimentation and predictive modeling.

Within the first year, you will lead initiatives designing predictive models for engagement and churn, optimizing personalization systems with experimentation, and building

Qualifications

• 8+ years of data science or analytics experience with product impact.
• Deep expertise in statistical modeling and causal inference.
• Strong SQL and at least one programming language (Python preferred).
• Experience with large-scale data systems (Snowflake, dbt, Airflow, Spark).
• Ability to communicate complex insights to non-technical stakeholders.

Responsibilities

• Design, build, and deploy predictive and causal models powering personalization and monetization.
• Develop experiments and measurement frameworks to ensure accurate attribution.
• Translate model outputs into actionable business insights for product and marketing.
• Partner with Product, Engineering, and Data teams to scale data products.
• Mentor peers and contribute to scientific rigor and data culture.

Skills

Predictive modeling

Causal inference

Experimental design

Data storytelling

SQL

Python

Education

Bachelor's degree in Statistics/Mathematics/Computer Science/Engineering

Tools

Snowflake

dbt

Airflow

Spark

Python

SQL

Job description

About the Role:

Fetch is at a major inflection point in leveraging data to drive business growth and innovation. With over $100B in item-level purchase data from millions of monthly active users, we are uniquely positioned to turn raw consumer insights into actionable intelligence that powers every aspect of our product, operations, and monetization strategies.

We are seeking a Senior Data Scientist to play a key role in developing and scaling Fetch's data science capabilities. This role transcends traditional analytics as you will architect and operationalize production-ready models and frameworks that directly influence Fetch's product strategy, personalization systems, and business outcomes. As a Senior Data Scientist, you will partner cross-functionally with Product, Engineering, Marketing, and Data Product teams to transform complex datasets into measurable business impact through experimentation, predictive modeling, and data-driven decision-making.

Within your first year, you will lead multiple high-impact initiatives such as designing predictive models for engagement and churn, optimizing personalization systems through experimentation and machine learning, and developing scalable frameworks that quantify the business impact of new product launches and feature iterations.

What you'll do at Fetch:

Advanced Analytics & Modeling

• 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.

Business Impact & Experimentation

• 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.

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

Technical Excellence

• 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.

Minimum 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 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.

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.

This is a full-time role that can be held from one of our US offices or remotely in the United States.