Data Scientist

Palo Alto, Palo Alto, CA

Job Description

Where You Come In

This is a foundational, zero-to-one opportunity to build Luma's entire data science discipline from the ground up. As our first Data Scientist, you will be the architect of our data-driven culture, defining the north-star metrics that guide our strategy and building the source-of-truth systems that empower the entire company. This is not a role for running queries; you will be a strategic partner across product, growth, and research, uncovering the critical insights that will shape the future of our creative AI platform.

What You'll Do

Architect and Build our data science and data engineering infrastructure and source-of-truth dashboards from scratch, creating a self-serve platform that empowers the entire company.
Define and Champion the north-star metrics that guide our product, growth, and research initiatives, establishing a data-driven culture from the ground up.
Design and Analyze the key experiments that measure the impact of product changes, growth initiatives, and new model deployments on our users.
Partner Directly with leadership and embed across product, growth, and research teams to uncover and deliver the actionable insights that drive our strategy.
Translate complex data into clear, compelling narratives that drive alignment and decision-making across the organization.

Who You Are

You have 7+ years of experience in data science, ideally as a founding or lead data scientist or data engineer at a high-growth product or technology company.
You are a hands-on builder with experience creating and maintaining a modern data stack (e.g., ETL, data warehousing, visualization tools).
You are a proactive, first-principles thinker who is driven to define and implement core metrics and experimentation frameworks in an ambiguous environment.
You have a deep understanding of product analytics, growth metrics, and A/B testing methodologies.
You are an exceptional communicator and a natural collaborator, with a proven ability to build strong relationships and influence decision-making across all levels of an organization.

What Sets You Apart (Bonus Points)

Experience working with data from generative AI, creative tools, or media-rich products.
Familiarity with the data infrastructure required to support large-scale ML systems.
A strong portfolio of public-facing analyses, data visualizations, or open-source contributions.
Experience setting up a data science function from zero at a previous startup.

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