Senior Data Scientist

Overview

We’re hiring a Senior Data Scientist to help define how Sundays uses data to scale the business. This is a high-impact role on a small, scrappy, and fast-moving team in the early stages of building best-in-class data infrastructure and modeling capabilities from the ground up. Reporting to our newly appointed VP of Data, this role blends data science, analytics, and platform-building.

You’ll partner closely with our Analytics Engineering function to shape our analytics foundation — from scalable data models and modern BI tooling to the first generation of production-grade data science models. While there is tremendous opportunity to apply advanced data science techniques, this role will also spend meaningful time on core analytics, especially early on. As a new team, we’re simultaneously building the foundation and delivering insights, so you’ll need to be comfortable flexing between deep modeling work and hands-on analytical problem-solving.

You’ll have significant ownership in shaping how data is used at Sundays — identifying the highest-impact opportunities for data science, building models and analytical frameworks, and helping the company act on what we learn.

This role is fully remote within the U.S., with travel to our Cleveland headquarters for onboarding and quarterly in-person collaboration.

• Partner with stakeholders across Marketing, Product, Finance, and Operations to frame business problems and identify where data science and analytics can drive the most impact.
• Develop and deploy data science models (e.g., LTV prediction, churn/retention modeling, propensity scoring, forecasting) to inform growth and operational decisions.
• Perform high-impact exploratory and ad-hoc analyses to answer critical business questions and move quickly on strategic decisions.
• Work closely with Analytics Engineering to translate business needs into scalable datasets, feature sets, and production-ready models.
• Help define and standardize key business metrics, ensuring alignment between analytical outputs and modeled insights.
• Contribute to the rollout and adoption of our dbt project and BI tooling, ensuring models and analyses are built on reliable, well-structured data.
• Build and maintain dashboards and reporting frameworks that complement and operationalize data science insights.
• Design, analyze, and interpret experiments (A/B tests) to evaluate product, marketing, and lifecycle initiatives.
• Investigate performance changes, diagnose root causes, and communicate clear, actionable recommendations to stakeholders.
• Help establish best practices for data science and analytics as we scale the function.
• Work with data and engineering partners to ensure analytical work is built on scalable, reliable data models.

• 6+ years of experience in data science, analytics, or related quantitative roles.
• Strong SQL and experience with modern cloud data warehouses (e.g., Snowflake, Big Query, Databricks) and tools like dbt
• Proficiency in Python (or similar) for data analysis, statistical modeling, and machine learning
• Experience building and applying models (e.g., LTV, churn/retention, forecasting, MTA/MMM, propensity) in a business context
• Deep understanding of DTC/ecommerce metrics (CAC, LTV, cohort analysis, retention) and experimentation (A/B testing)
• Proven ability to drive business impact through data, partnering cross-functionally and balancing analytics, modeling, and strategic decision-making in a fast-paced environment

• Experience product ionizing data science models and working with engineering to deploy them.
• Familiarity with feature engineering, model monitoring, and lifecycle management.
• Experience helping stand up data science or analytics practices in early-stage or high-growth environments.
• Experience scaling BI tools (Omni, Looker, Sigma, etc.) alongside data science workflows.

• Unlimited PTO – we trust you to take the time you need.
• Equity program – a chance to own part of the company!
• 401k plan with employer match – invest in your future.
• Annual work-from-home stipend – set up your workspace for success.
• Competitive Medical, Dental, Vision plans – company covers 80%.
• Su…