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Rec Room is the best place to build and play games together. Players can chat, hang out, explore millions of rooms, or create something new to share with the world.

We’re excited to bring a Staff Data Scientist into the Creator org. This team is responsible for all creation and creator support across the platform, including the building blocks, creation tooling itself, and publication and monetization of the rooms. This org is crucial to the success of Rec Room, and this role will play a meaningful part in its success.

As the Staff Data Scientist on the Creator Team, you will be a key insights leader responsible for owning the comprehensive story on how creators → build their content, form teams, and monetize. You will directly partner with product managers and engineers to drive impact from those insights by creating new features or modifying the existing user experience. You will be one of the most senior individuals contributing to the team, helping to lead all parts of the product lifecycle, from strategy to driving execution, measuring results, and using learnings to inform future decisions. You’ll work closely with data scientists from other teams, including ranking, engagement, and trust & safety, to align our priorities and strategies.

WHAT YOU'LL DO:

Help build and drive the long-term product vision for how we invest in creator success and products at Rec Room
Set the standard for excellence in all things data → including building pipelines, data documentation, and dashboarding.
Define core org-level metrics to identify high-quality rooms and creators, and work with our ranking team to ensure that we’re promoting the right content
Own experimentation for the org - onboarding devs & PMs onto our platform, building out best practices, and mentoring other DSes
Consistently deliver / present insights to management to influence key investment areas for the company.
Be a leader in XFN workstreams alongside product, engineering, and design teams to ensure insights make it to the product.
Provide mentorship to data organization by improving processes, and providing perspective on the most critical problems

WE ARE LOOKING FOR INDIVIDUALS WITH:

6+ years of product analytics experience, with a proven track record of deriving insights that lead to product changes
Significant expertise in experimentation methodologies
Mastery knowledge of SQL
Entrepreneurial, self-directed, and enthusiastic about solving problems
Experience with Python or R is a plus
Experience with manipulating and analyzing complex, high-volume data

The base pay range for this position is listed below; please note the base pay may vary depending on location, job-related knowledge, skills, and experience. Stock options and, in some cases, a sign-on bonus may be offered as part of the compensation package. We also offer a full slate of benefits, including flexible vacation, medical, dental vision, life and disability coverage, long-term care insurance, FSA, commuter benefits, a 401(k) plan with company match, and a parental leave program. We also offer some not-so-standard benefits, including equipment, family, and pet care stipends.

Base Pay Range

$194,063—$237,188 USD

COMPANY INFO TO KNOW:

Rec Room offers generous medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. We also support your retirement benefits with a company match. Rec Room values work-life balance by providing unlimited paid time off. Our company values are real and drive our culture. We work hard to be a safe and friendly place for people from all walks of life.

Rec Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Applicants who are in need of a reasonable accommodation for any part of the application process may contact, in confidence, [email protected]. Rec Room will work with each individual to define their application-related needs and to try to accommodate those needs.

Applicants can find our CCPA disclosure notice here.

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Rec Room is hiring a

Staff Data Scientist, Creator Analytics