Gusto is looking to leverage experimentation, statistical inference, and causal analysis to drive strategic decision making and contribute to the overall success of the organization, specifically in the Gusto Retirement financial platform product for small business customers.
Requirements
- Tactical SQL skills and experience with Python
- Must be comfortable learning new tools and pivoting quickly.
- Tangible experience integrating efficient AI-assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights
- Proven ability to apply statistical methods, causal inference, and A/B testing experimental design to real business problems
- Demonstrated comfort with ambiguity and an adaptive mindset in a constantly changing work environment
- 5 – 10 years of experience in Data Science at a product-focused software company
- Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership
Responsibilities
- Lead: Own ambiguous problems with an AI-native approach, design analysis frameworks, and introduce structure that scales across multiple product domains.
- Strategic Partnership: Collaborate with product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategy, and guide data-informed decision-making.
- Analytical Rigor: Apply advanced statistical methods, causal inference, and experimentation to surface drivers of product performance, separating signal from noise.
- Experimentation & Measurement: Design, analyze, and interpret experiments; leverage AI tools and workflows to ensure insights highlight trade-offs and limitations based on sample size and data quality.
- Execution: Deliver multiple high-impact projects, balancing trade-offs to maximize business value, and maintain clear expectations of deliverables and timelines.
- Communication: Present complex findings in a structured, compelling way to technical and non-technical stakeholders, fostering a data-informed mindset across the company.
- Operate with Agility: Drive progress with an adaptive and creative mindset to navigate and succeed in a dynamic environment where technologies and project scopes are constantly evolving.
Other
- 2-3 days per week in-office expectation for employees based in Denver, San Francisco, and New York City
- Secure, reliable, and consistent internet connection required for remote work
- Bachelor's, Master's, or Ph.D. degree (not specified, but implied)
- Ability to work in a dynamic environment with changing technologies and project scopes
- Passion for mentoring others and raising the bar for data science craft across the team
