The team: 

The decision science team is part of the product and engineering team.

The team works together to provide data-based guidance and metrics to inform product strategy by developing quantitative research projects. You'll have an opportunity to interact directly with our Product, Design, and Business teams to surface critical topics, identify innovative practices, and develop high-impact solutions that create great user experiences and advance the state-of-the-art in user experience research.

The opportunity 

We are looking for a Data Scientist to help us to define and measure

quantitative Product/UX goals and metrics in collaboration with Product Managers, Qualitative Researchers, Designers, and Engineers. 

What you will be doing:

• Drive quantitative research and statistical modeling to improve user experience and product results.
• Leverage data to find actionable insight of strategic importance to UserTesting and practical value to customers
• Communicate analyses and results in ways that are accessible, relevant, and meaningful to a diverse audience
• Create and support a data-driven culture among company decision makers.

What we are looking for

• Strong working knowledge of research methodology and statistical techniques including experimentation, statistical inference, and machine learning
• Experience performing advanced data analytics in a business, academic, or related context (e.g., high-tech, market research, management consulting, operations research, finance, etc.)
• Ability to explain value of different analytic methods, and the output of data analyses, to non-technical audiences, including executives and managers
• A broad perspective combined with a strong focus on details
• Deep curiosity and love of problem solving
• Bachelor's degree with relevant industry experience
• Professional experience in an applied research setting or product analytics, preferably in Consumer or B2B software.
• SQL, Python (or R) for data analysis and visualization, version control (git)
• Experience or knowledge of one or more of the following: User experience research, product analytics, applied behavioral science, applied machine learning (regression models, clustering, time series prediction)

What we offer: 

• Employee Assistance Program (EAP)
• Employee Referral Program
• Professional Development Stipend
• Remote work stipend
• Wellness reimbursement
• Volunteer days
• Life Assurance