Growth Data Science Leader

Gusto · Denver, CO - Hybrid; New York, New York, United States; San Francisco, CA - Hybridsenior

En corto

▸Líder técnico y de equipo en ciencia de datos para crecimiento en una empresa de SaaS.
▸Día a día: liderar equipo, diseñar métricas, impulsar experimentos y aplicar IA en productos.
▸Destacado: rol equivalente a Senior Manager/Director con impacto estratégico y mano en análisis.

N/A

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓10+ años en ciencia de datos o áreas afines
✓4+ años gestionando equipos de ciencia de datos
✓experiencia comprobada en estrategia de producto basada en datos
✓capacidad para liderar análisis rigurosos y experimentos (A/B tests)
✓habilidades avanzadas en comunicación con líderes ejecutivos
✓experiencia en desarrollo de productos con IA/ML

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

AIMLA/B testingfunnel analysissegmentationstatistical analysisdata-driven decision-makingproduct analyticsexperimentation frameworksmeasurement systems

¿A quién escribirle en Gusto?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About Gusto 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. About the Role: 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. Here’s what we're looking for: • 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

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