Job Description
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.
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.
