Data Scientist

Adobe•Seattle, WA

20h

About The Position

Adobe Express is one of Adobe’s most high-profile growth products. We are at the forefront of delivering Adobe’s “Creativity for All” mission by making the core technology of our industry-leading products available with no learning curve. Join us at Adobe Express and become involved in a groundbreaking initiative that’s reshaping the way people express themselves. We’re seeking a dynamic and motivated hands-on data scientist to join our team. In this strategic role, you’ll collaborate with product managers, growth marketers, and the leadership team to drive key decisions that shape the future of our products. If you’re passionate about understanding users and optimizing all parts of their journey, this opportunity is tailor-made for you! Join us and help build better software while scaling our capabilities to new heights.

Requirements

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.
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.

Nice To Haves

Experience in ML modeling and data inference is highly desirable.

Responsibilities

Dive deep into Adobe Express data to uncover new product and business opportunities.
Develop and implement a machine learning strategy and roadmap.
Engage directly with product development teams and leadership to develop business strategy and product roadmaps informed by analytical insights.
Design, implement, and analyze A/B experiments.
Deliver comprehensive reports and actionable insights that drive product enhancements.
Motivate data science and product teams by championing experimentation and sharing product insights that lead to innovation.
Work closely with development teams on product instrumentation, user flow analysis, and data capture to ensure robust data foundations.