Senior Data Scientist

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

 

The Opportunity
At Adobe Express, we’re on a mission to democratize content creation. Our vision is to provide a platform where anyone, regardless of their background or experience, can effortlessly craft exceptional content that resonates.

Are you ready to elevate your data science career? 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 execute a machine learning strategy and roadmap.
• Strategic Partnership: Collaborate with product development teams and leadership to shape 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.
• Deep fluency in SQL and proficiency in Python
• 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 business leaders.
• Someone who is a self-starter, takes ownership, and drives solutions to completion, solving problems thoroughly and proactively.

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,900 -- $242,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.  Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorad