# Senior Manager, Growth Data Science

**Company:** [Gusto](https://hotfix.jobs/companies/gusto)
**Location:** Denver, CO, New York, NY, San Francisco, CA
**Role:** Data Science
**Salary:** $185k – $255k/yr
**Experience:** 10+ years
**Skills:** Python, SQL, Statistics, A/B Testing, Experimentation, Product Analytics, Machine Learning, Artificial Intelligence, LLMs, Personalization, Churn Prediction, Customer Segmentation, Funnel Analysis, Saas Analytics, Data Visualization
**Posted:** 2026-08-17

> Leads and develops a product-focused data science team while partnering with cross-functional leaders to shape growth strategy, measurement, experimentation, and AI-powered product development. Requires 10+ years in data science or related fields, including 4+ years managing data science teams.

## Job Description

## Responsibilities
- Lead and develop a team of data scientists by hiring, empowering, and coaching team members while setting a high bar for analytical quality and career growth.
- Shape product and business strategy through data by partnering with Product and cross-functional leaders to identify opportunities, prioritize investments, and influence product roadmaps.
- Develop and scale measurement frameworks, including key metrics, monitoring systems, and rigorous evaluation of product initiatives and AI-powered features.
- Support inferential analyses and experimentation such as A/B testing, segmentation, and funnel analysis.
- Design evaluations for AI and machine-learning-driven systems and ensure findings are actionable and aligned with strategic goals.
- Partner with ML Engineering and Product on personalization, predictions, and intelligent automation, grounding features in customer insight and measuring real-world impact.
- Review and refine hands-on analyses to ensure they are technically sound and business-relevant.
- Communicate insights and recommendations clearly to senior leadership, framing trade-offs and shaping executive decision-making.

## Requirements
- 10+ years of experience in data science or related fields.
- At least 4 years managing and scaling high-performing data science teams.
- Deep expertise in product analytics, including user acquisition, activation, retention, engagement, or expansion in SaaS or product-led environments.
- Advanced coding skills, strong statistical reasoning, and familiarity with experimentation frameworks.
- Experience at the intersection of data science and AI product development, including model behavior, evaluation design, and deployment trade-offs.
- Ability to connect insights to product and business goals and influence roadmaps through data.
- Proven executive communication and cross-functional collaboration skills.

## Nice-to-haves
- Hands-on experience with machine-learning applications such as personalization, churn prediction, customer segmentation, or LLM-powered features.
- Familiarity with multi-product SaaS ecosystems and customer lifecycle analytics.

## Compensation and Benefits
- Competitive base pay, benefits, and equity (RSUs) for full-time employees.
- Targeted cash compensation: $185,000–$217,000 in Denver; $218,000–$255,000 in San Francisco and New York.
- Employees based in Denver, San Francisco, or New York work from the office approximately 2–3 days per week or more depending on the role.
- A secure, reliable, and consistent internet connection is required when working outside a Gusto office.

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