
Lead Growth Data Scientist – AI Search
Adobe
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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Salary
💰 $133,100 - $236,400 per year
Job Level
About the role
- Define and evolve measurement metrics & frameworks for brand presence performance in AI-powered search and answer engines.
- Compose exploratory analyses and experiments to drive actions, translating insights into repeatable playbooks through ongoing iterations & feedback.
- Develop proxies and heuristics to connect brand visibility and sentiment to business outcomes (e.g., MAU, LTV, GNARR) where direct attribution is not possible.
- Build scalable scorecards, dashboards, or other creative ways of visualization that enable self-serve access to performance.
- Set quarterly targets, monitor weekly performance, and deliver actionable insights to senior marketing leaders.
- Translate complex findings into clear narratives that influence strategic decisions and the company-wide AI Search strategy and roadmap.
- Partner deeply with PMM, GTM, SEO/GEO, Social, PR, and Media teams to align on success metrics, priorities, and tradeoffs.
Requirements
- 6 - 10+ years of experience in growth data science, analytics, or applied experimentation
- Passionate about AI, consumer trends, brand outcomes, and marketing-led growth
- Strong analytical and statistical reasoning, with comfort working from imperfect or incomplete data
- Experience crafting experiments or measurement frameworks without a clear ground truth
- Strategic attitude with the ability to synthesize insights into action
- Proven ability to operate in highly ambiguous, zero-to-one problem spaces as a self-starter
- Strong communication and storytelling skills, influencing across a large, matrixed organization
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
- Bonuses
- Stock options
- Equipment allowances
- Wellness programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data scienceanalyticsapplied experimentationmeasurement frameworksstatistical reasoningexperimental designdata visualizationperformance metricsscorecardsdashboards
Soft skills
analytical thinkingstrategic thinkingcommunication skillsstorytellinginfluencingself-starteradaptabilitycollaborationsynthesis of insightsproblem-solving