Growth Data Science Leader

Gusto is looking for an experienced, hands-on people manager to lead a data science and analytics team supporting Growth product initiatives. This role sits at the heart of how we use data - and increasingly AI - to understand, shape, and scale Gusto’s products. You’ll both manage a team of data scientists and analysts as well as personally get in-the-weeds to work closely with Product, Engineering, Design, Marketing, Sales, and Finance to deliver insights and frameworks that inform strategy, optimize user experiences, and accelerate business growth.

We’re looking for a leader who can balance strategic influence with hands-on craft - someone who can guide senior Gusto leaders through data and AI strategy, coach data scientists on impactful problem solving, and dive in to drive forward statistically rigorous analyses when needed.

This role is the equivalent to a Senior Manager/Director-level role.

Here’s what you’ll do day-to-day:

• Lead and develop a team of data scientists - hire, empower, and coach team members; set a high bar for analytical quality and career growth.
• Shape product and business strategy through data - partner with Product and cross-functional leaders to identify opportunities, prioritize investments, and influence long-term product roadmaps.
• Develop and scale measurement frameworks - define key metrics, design monitoring systems, and ensure product initiatives - including AI-powered features - are rigorously tracked and evaluated.
• Support experimentation and decision-making - support inferential analyses and experimentation (e.g., A/B tests, segmentation, funnel analysis), including designing evaluations for AI and ML-driven systems, ensuring findings are actionable and aligned to strategic goals.
• Partner on AI-powered product development - collaborate with ML Engineering and Product to bring intelligent features to life (personalization, predictions, intelligent automation), ensuring they’re grounded in customer insight and measured for real-world impact.
• Balance strategic and hands-on impact - dive deep into data, review and refine analyses, and ensure insights are both technically sound and business-relevant.
• Influence senior leadership - communicate insights and recommendations clearly, framing trade-offs and shaping executive decision-making., Glassdoor Indeed Facebook Built In Colorado News Article Conference or Meetup Company Blog Company Employee Company Website Billboard/Outdoor Ads

Are you legally authorized to work in the country where you are applying?* Select… Will you now or in the future require visa sponsorship for employment?* Select…

If you’ll require this employer to commence, i.e., “sponsor,” an immigration or work permit case in order to employ you, either now or at some point in the future, then you should answer yes. An example of an immigration or work permit case that may require sponsorship now or in the future would be an H-1B or other employment-based work permit sponsorship. How many years of experience do you have leading high-performing data science teams? * Select… Do you have experience applying data science to growth or user acquisition problems (e.g., experimentation, funnel analysis, conversion modeling, or retention)?** Select… This a hybrid role available in San Francisco, Denver, or New York City. Please confirm that you currently reside in one of these locations and can adhere to a hybrid schedule (in office Tuesdays & Wednesdays)* Select…, In addition to the information required to consider your application, below is a set of demographic questions that help us identify areas for improvement in our process and further support the development and execution of our diversity efforts and programs as well as to create a more inclusive environment for all employees.

• 10+ years of experience in data science or related fields, with at least 4 years managing and scaling high-performing data science teams.
• Deep expertise in product analytics - experience with user acquisition, activation, retention, engagement, or expansion in SaaS or product-led environments.
• Technical fluency - advanced coding skills, strong statistical reasoning, and familiarity with experimentation frameworks; ability to mentor data scientists on best practices.
• AI product intuition - experience working at the intersection of data science and AI product development; comfort reasoning about model behavior, evaluation design, and the tradeoffs of deploying AI in customer-facing contexts.
• Strategic and business acumen - demonstrated ability to connect insights to product and business goals, and to influence roadmaps through data.
• Executive communication skills - proven experience presenting insights to senior stakeholders, turning complex data into clear and actionable recommendations.
• Cross-functional collaboration - history of working closely with Product, Engineering, and go-to-market teams to drive decisions and deliver impact.
• Hands-on experience with ML applications in product contexts (e.g., personalization, churn prediction, customer segmentation, or LLM-powered features) is strongly preferred.
• Familiarity with multi-product SaaS ecosystems and customer lifecycle analytics is desirable.

Our cash compensation amount for this role is targeted at and $185,000 - $217,000 in Denver, and $218,000 - $255,000 in 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., You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition. Disabilities include, but are not limited to:

• Blindness
• Deafness
• Cancer
• Diabetes
• Epilepsy
• Autism
• Cerebral palsy
• HIV/AIDS
• Schizophrenia
• Muscular dystrophy
• Bipolar disorder
• Major depression
• Multiple sclerosis (MS)
• Missing limbs or partially missing limbs
• Post-traumatic stress disorder (PTSD)
• Obsessive compulsive disorder
• Impairments requiring the use of a wheelchair
• Intellectual disability

At Gusto, we’re on a mission to grow the small business economy. We handle the hard stuff - payroll, health insurance, 401(k)s, and HR - so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) - because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.