Gusto is looking for a Staff Data Scientist with a solid grounding in statistics and data story-telling and a passion for product analytics.

About Gusto

Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 300,000 businesses nationwide.

Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy. 

About the Role

You will work closely with other members of our Data Science team, as well as our Engineering, Product and Design partners to define and track product metrics, design customer-facing experiments and dive deep into our Payroll, Benefits and HR data to deliver impactful insights to our business partners. 

Gusto’s Data Science team leverages Gusto’s rich dataset to guide product direction and decision-making. We operate full-stack, working closely with product managers to apply data insights to strategy and product decisions, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers.

Gusto’s Data team currently has multiple openings. If you are interested in joining Gusto please apply to no more than 1 role. After an initial interview, the team may decide to place you in a different role than what you applied for based on your experience and interest.

Here’s what you’ll do day-to-day:

• Work closely with product groups to define, measure and report on core product and feature metrics, and to define standards and practices for how product groups work with data
• Perform in-depth analyses of our Payroll, Benefits and HR product data to inform and guide product direction and strategy
• Design and analyze customer-facing experiments
• Work with our business intelligence teams to turn your insights and analyses into clean and consistent reporting
• Be a strong voice for a data-informed point of view within our engineering, product and design organization
• Collaborate with UX research to design surveys and provide quantitative insights on customer experience

Here’s what we're looking for:

• We love meeting people with different data backgrounds. For this Staff Data Science role, we are looking for at least 5+ years of experience working with product data in a business setting. 
• Strong SQL skills, and be comfortable in at least one scripting or statistical programming language (ideally Python and/or R)
• Strong knowledge of statistics and experiment design and ability to apply these to conducting and interpreting analyses, data visualization, presentation and recommendations
• Excellent communicator - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion
• Be curiosity-driven and passionate about teaching and evangelizing a data-informed approach to product development to product managers, designers and engineers

Our cash compensation amount for this role is targeted at $152,000-167,000/yr in Denver, Chicago, and Atlanta, $166,000-$182,000/year in Los Angeles and Seattle, and $185,000-202,000/yr for San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.