Senior Data Scientist

Company: Sundays For Dogs

Location: Remote (Remote)

Salary: $0 a year

Type: Full-time

Remote: Yes

Posted: 2026-04-03

About this role

About Sundays for Dogs

Sundays 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...

## About your team and position:

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 that is 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 newly established Analytics Engineering function to help 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 ...

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