Staff Data Scientist, Growth Analytics

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Scientist, Growth Analytics in United States.

This is a high-impact, domain-owning data science role at the intersection of marketing, product analytics, and growth strategy, focused on improving how members discover, onboard, and engage with healthcare services at scale. You will operate across the full growth funnel, from acquisition and lead generation through onboarding and first-visit completion, ensuring a unified understanding of performance across both marketing and product experiences. The role blends advanced experimentation, causal inference, and full-stack analytics engineering, requiring someone who can move fluidly between data modeling, statistical analysis, and executive storytelling. You will also help define the measurement architecture powering experimentation and product analytics, including event tracking and experimentation platforms. Working in a fast-paced, AI-native environment, you will leverage modern tooling to accelerate insight generation and enable scalable self-service analytics. This is a highly visible role reporting to senior leadership, where your work directly shapes growth strategy and investment decisions. It is ideal for an analytical leader who thrives on ownership, rigor, and cross-functional influence.

Accountabilities:

• Own the end-to-end analytical strategy across the marketing funnel, from acquisition and lead generation through visit completion and re-engagement across multiple channels.
• Lead product analytics for onboarding, signup conversion, and early member engagement through the first completed appointment.
• Serve as the executive-facing owner of growth performance, translating funnel trends into actionable insights and strategic recommendations.
• Design and lead experimentation and causal inference programs across both marketing and product domains, ensuring statistical rigor and business impact.
• Own and evolve attribution frameworks, including multi-touch attribution and lifecycle modeling to support investment decisions.
• Build and maintain dbt data models across marketing and product domains, ensuring high-quality, well-documented, and testable data foundations.
• Develop and improve product and event instrumentation, including implementation and optimization of experimentation tools and tracking systems.
• Engineer semantic layers and BI context to enable reliable self-service analytics and AI-assisted insights for stakeholders.
• Partner closely with growth, product, and marketing leadership to embed analytics into decision-making processes.
• Drive clear, executive-ready narratives that explain performance shifts and identify actionable growth levers.
• Establish best practices in experimentation design, analytics engineering, and data modeling across the team.

Requirements:

• 8+ years of experience in data science, analytics, or experimentation roles focused on growth, acquisition, or lifecycle analytics.
• Deep expertise in experimentation design and causal inference, including A/B testing, quasi-experimental methods, and geo-based analysis.
• Strong background in attribution modeling, including multi-touch attribution and lifecycle measurement frameworks.
• Expert-level SQL skills and strong Python proficiency for statistical modeling and data analysis.
• Hands-on experience building and owning dbt models, including data marts, testing, documentation, and semantic layers.
• Experience with product analytics and experimentation tools such as Statsig, Amplitude, Mixpanel, or similar platforms.
• Strong understanding of lifecycle marketing tools such as Customer.io, Braze, or Iterable.
• Experience with BI tooling and context engineering for self-service analytics in platforms such as Omni or equivalent.
• Proven ability to translate complex analytical results into clear, executive-level recommendations.
• Strong communication skills and ability to influence cross-functional stakeholders.
• Experience working in marketplace, healthcare, or regulated environments is a plus.
• Bachelor’s degree in a quantitative field; Master’s degree preferred.
• Fluency with AI-native analytical tools is strongly preferred.

Benefits:

• Remote-first work environment with flexibility across the United States.
• Unlimited PTO and flexible work arrangements.
• Comprehensive healthcare coverage including medical, dental, and vision.
• 401(k) retirement plan with bonus eligibility.
• Access to registered dietitian sessions as part of employee wellness support.
• Opportunity to work on mission-driven products improving healthcare access and affordability.
• High-impact role with direct visibility into executive-level decision-making.
• Modern, AI-enabled analytics stack with advanced tooling and experimentation platforms.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1