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# Data Scientist

- **Company:** Adobe Systems
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $163,200.0 - $236,400.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Data-Flow Analysis, Machine Learning, Adobe, Adobe Suites
- **Published:** August 11, 2026
- **Apply:** https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Seattle/Data-Scientist_R170880-1

## About the Role

* Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering. Advanced degrees are preferred.
 * 2+ years of hands-on technical experience in a data science role
 * Proven ability to explore large datasets, extract meaningful insights, and translate these into real-world results.
 * Experience in ML modeling and data inference is highly desirable.
 * Strong skills in understanding data, coupled with creative thinking and problem-solving abilities.
 * Demonstrated history of deriving insights from data analyses and effectively communicating these to product and commercial leaders.
 * Someone who is a self-starter, takes ownership, and drives solutions to completion, solving problems thoroughly and proactively.

About Adobe

## Description

* Prioritize and Lead Analytics Initiatives: Dive deep into Adobe Express data to uncover new product and business opportunities. Develop and implement a machine learning strategy and roadmap.
 * Strategic Partnership: Engage directly with product development teams and leadership to develop business strategy and product roadmaps informed by analytical insights.
 * Experimentation and Analysis: Design, implement, and analyze A/B experiments. Deliver comprehensive reports and actionable insights that drive product enhancements.
 * Foster Data Culture: Motivate data science and product teams by championing experimentation and sharing product insights that lead to innovation.
 * Cross Collaboration & Communication: Work closely with development teams on product instrumentation, user flow analysis, and data capture to ensure robust data foundations.


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