Growth Data Scientist, Social Marketing

Adobe•San Francisco, CA

About The Position

Our Category Analytics and Solutions (Catalyst) team exists to increase the velocity and confidence of strategic decision-making by turning hypotheses into data-backed approaches at scale. We are a multidisciplinary team of change agents who thrive in ambiguity, move fast with rigor, and embrace AI-native analytics workflows. Our work informs executive decisions at the E-Team level and helps our businesses move from insight to execution to measurable growth. We are seeking a strategic, execution-minded Data Scientist to support growth across content sharing channels and influencer marketing. You will help interpret data to generate clear insights, improve measurement, and enable faster testing and iteration with content and creator strategy. This is a hands-on role passionate about analysis, experimentation, and actionable insights in a defined but fast-evolving Social and Influencer domain. You will collaborate directly with channel owners and content creators. Together, you will define and evolve practitioner-level, optimizable metrics that improve day-to-day performance.

Requirements

3+ years in applied data science, analytics, or growth-focused roles with experience in social or digital marketing.
Strong bias toward action, translating data into changes that improve content and campaign performance.
Experience with social marketing metrics (e.g., reach, engagement, conversion) and basic attribution concepts.
Structured problem solver who can break down questions and deliver practical recommendations.
Ability to translate analysis into clear insights for non-technical partners (e.g., content creators, marketers).
Strong collaboration skills; comfortable coordinating intimately with channel owners and marketing teams.

Responsibilities

Analyze performance across organic social, influencer partnerships, and paid social to identify optimization opportunities.
Support experiment design (e.g., creative, audience, influencer selection) and evaluate results.
Define and evolve optimizable metrics (e.g., engagement rate, cost efficiency) to guide day-to-day decisions.
Set quarterly targets, monitor weekly performance, and deliver actionable insights to channel owners and marketing partners.
Translate data into actionable recommendations for content, messaging, and creator strategy.
Build scorecards and visualization tools to enable ongoing performance tracking and faster iteration.
Partner closely with Organic Social, Influencer, and Paid Social teams to align on priorities and insights.