Gusto, Inc.04/30/2026

Руководитель Growth Data Science

RUB 15,417–21,250per month · before tax

MARKET

15,900 ₽median for this role

Data Scientist · 115 jobs with disclosed pay

5,000half of the offers: 12,796–20,50043,793

At market · above 48% of offers

Denver

Responsibilities

01Lead and develop a team of data scientists – hire, empower, and coach team members; set a high bar for analytical quality and career growth
02Shape product and business strategy through data – partner with Product and cross-functional leaders to identify opportunities, prioritize investments, and influence long-term product roadmaps
03Develop and scale measurement frameworks – define key metrics, design monitoring systems, and ensure product initiatives — including AI-powered features — are rigorously tracked and evaluated
04Support 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
05Partner 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
06Balance strategic and hands-on impact – dive deep into data, review and refine analyses, and ensure insights are both technically sound and business-relevant
07Influence senior leadership – communicate insights and recommendations clearly, framing trade-offs and shaping executive decision-making

0110+ years of experience in data science or related fields, with at least 4 years managing and scaling high-performing data science teams
02Deep expertise in product analytics – experience with user acquisition, activation, retention, engagement, or expansion in SaaS or product-led environments
03Technical fluency – advanced coding skills, strong statistical reasoning, and familiarity with experimentation frameworks; ability to mentor data scientists on best practices
04AI 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
05Strategic and business acumen – demonstrated ability to connect insights to product and business goals, and to influence roadmaps through data
06Executive communication skills – proven experience presenting insights to senior stakeholders, turning complex data into clear and actionable recommendations
07Cross-functional collaboration – history of working closely with Product, Engineering, and go-to-market teams to drive decisions and deliver impact
08Hands-on experience with ML applications in product contexts (e.g., personalization, churn prediction, customer segmentation, or LLM-powered features) is strongly preferred
09Familiarity with multi-product SaaS ecosystems and customer lifecycle analytics is desirable

01All full-time employees receive competitive base pay, benefits, and equity (RSUs)
02Offer amounts are determined by role, level, and location
03Teams in Denver, San Francisco, and New York
04Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role)
05When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required
06This includes non-office days for hybrid employees