Senior Data Scientist

OverviewWe'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.ResponsibilitiesPartner 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.Qualifications6+ years of experience in data science, analytics, or related quantitative roles.Strong SQL and experience with modern cloud data warehouses (e.g., Snowflake, BigQuery, Databricks) and tools like dbtProficiency in Python (or similar) for data analysis, statistical modeling, and machine learningExperience building and applying models (e.g., LTV, churn/retention, forecasting, MTA/MMM, propensity) in a business contextDeep 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 environmentNice-to-HavesExperience productionizing 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.Why Join Us?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%.Sundays subscription for your pup! – because we care about your furry friends.Parental leave & PAWrental leave – support for growing families, both human and pet.Discounted pet insurance – keep your pets happy and healthy.Safety NoteRECRUITING SCAM ALERTWe've been made aware of scammers impersonating Sundays for Dogs and inviting candidates to interview via Microsoft Teams.To protect yourself, please note:All interview scheduling communications will come from one of the following domains: @ats.rippling.com (our official applicant tracking system) or @sundaysfordogs.com.If you receive outreach from any other email domain or are asked to communicate outside of these channels, it is not from our team.We strongly suggest you do not share any personal or confidential information if you are unsure about the legitimacy of the communication.If you have questions about whether a message is legitimate, contact us directly at View email address on click.appcast.io .About Sundays for DogsSundays for Dogs is a founder-led, direct-to-consumer brand reimagining pet food so dog owners can spend more quality time with their dogs — now and later. We make human-grade, air-dried food that supports long, healthy lives, and we build our company around shared core values that guide how we work and how we treat each other.We're headquartered in Cleveland, Ohio, with a primarily remote team of ~50 full-time employees across the U.S. While we work distributed day to day, we come together in person on a quarterly basis because relationships matter. Our business today is 100% DTC, with our subscription model at the core of how we serve customers — and we're building to scale with intention. We're just getting started...J-18808-Ljbffr