Senior Data Scientist, Product Analytics

Gusto has physical office spaces in Denver, San Francisco, and New York City. All Gusto roles posted in these metro areas come with the expectation of working from the office on designated days approximately 2-3 days per week.

• San Francisco Office Metro: San Francisco-Oakland-Berkeley, CA & San Jose-Sunnyvale-Santa Clara, CA Metropolitan Statistical Areas
• Denver Office Metro: Denver-Aurora-Lakewood, CO Metropolitan Statistical Area
• New York City Office Metro: New York-Newark-Jersey City, NY-NJ-PA Metropolitan Statistical Area

Symmetry, Gusto’s subsidiary, has a physical office in Scottsdale. All Symmetry roles posted in this metro area come with the expectation of working from the office on designated days approximately 2-3 days per week.

• Scottsdale Office Metro: Phoenix-Mesa-Chandler, AZ Metropolitan Statistical Areas

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. 

Gusto is looking for a mid-career 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

In this 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.

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 Senior Data Science role, we are looking for at least 5-10 years experience working with large-scale data. This could mean either a MS or PhD in a quantitative field with at least 3 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 5 years of experience working as a data scientist 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