Data Scientist
Adobe
- Location
- Seattle
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 221 approvals (FY2023)
- Posted
- 1d ago
Skills
About this role
The Opportunity
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.
Responsibilities
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. What we’re looking for 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 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other