Staff Data Scientist at Adobe Inc.
Overview
We seek a Staff Data Scientist to lead analytical efforts for Adobe's Pro Design team. This generalist role drives data strategy, builds predictive models, and shapes product metrics. You will partner with cross-functional teams to translate business questions into insights and deliver scalable AI-powered solutions. Join us to shape the future of design tools powered by intelligence and collaboration.
What You'll Do11
- 1Partner with Product Engineering and Design as an embedded data science lead to define metrics and drive actionable recommendations
- 2Steward core product metrics while collaborating with analytics engineering to ensure consistency
- 3Develop and execute end-to-end experiments improving experimental rigor across products
- 4Build propensity and segmentation models for churn LTV and propensity to inform product decisions
- 5Create internal data products leveraging AI to scale team reach and impact
- 6Lead data pipeline initiatives using Spark and Airflow to support real-time analytics
- 7Mentor junior analysts and foster a culture of rigorous statistical practice
- 8Drive adoption of AI-assisted workflows and agentic systems within product teams
- 9Collaborate with applied scientists to integrate machine learning into user-facing features
- 10Analyze large-scale datasets with SQL and Python to uncover patterns and trends
- 11Translate complex findings into clear business strategies for stakeholders
Requirements11
- 1Bachelor's degree in Statistics Mathematics Computer Science Economics Engineering or equivalent experience
- 210+ years in data science product analytics or related quantitative roles
- 3Strong statistical foundation with advanced experimentation techniques CUPED sequential testing
- 4Proficiency in SQL Python or R for data manipulation and modeling
- 5Experience building segmentation and predictive models for product or marketing applications
- 6Sound product judgment and stakeholder management skills
- 7Fluency with AI-assisted workflows and agentic tooling
- 8MS or PhD in relevant field or equivalent practical experience
- 9Background in consumer product analytics particularly in creative SaaS or subscription businesses
- 10Familiarity with Adobe Analytics Amplitude FullStory and experimentation platforms
- 11Experience with modern data stacks such as Databricks Spark
Salary Insight
$155 - $281k per year
Location
Required Skills
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