Asks for

The ad says“Strong foundation in statistics and quantitative methods, including areas such as regression, hypothesis testing, forecasting, experimentation, causal inference, or predictive modeling.”
The ad says“Strong SQL and Python skills, with experience working with large-scale datasets in modern data environments such as Databricks, Spark, or similar platforms.”
The ad says“Strong foundation in statistics and quantitative methods, including areas such as regression, hypothesis testing, forecasting, experimentation, causal inference, or predictive modeling.”
The ad says“Strong foundation in statistics and quantitative methods, including areas such as regression, hypothesis testing, forecasting, experimentation, causal inference, or predictive modeling.”
The ad says“Strong foundation in statistics and quantitative methods, including areas such as regression, hypothesis testing, forecasting, experimentation, causal inference, or predictive modeling.”
The ad says“Experience with visualization tools such as Tableau or Power BI.”
The ad says“Strong foundation in statistics and quantitative methods, including areas such as regression, hypothesis testing, forecasting, experimentation, causal inference, or predictive modeling.”
The ad says“Strong SQL and Python skills, with experience working with large-scale datasets in modern data environments such as Databricks, Spark, or similar platforms.”
The ad says“Strong foundation in statistics and quantitative methods, including areas such as regression, hypothesis testing, forecasting, experimentation, causal inference, or predictive modeling.”
The ad says“Strong SQL and Python skills, with experience working with large-scale datasets in modern data environments such as Databricks, Spark, or similar platforms.”
The ad says“Strong SQL and Python skills, with experience working with large-scale datasets in modern data environments such as Databricks, Spark, or similar platforms.”
The ad says“Strong foundation in statistics and quantitative methods, including areas such as regression, hypothesis testing, forecasting, experimentation, causal inference, or predictive modeling.”
The ad says“Experience with visualization tools such as Tableau or Power BI.”

The Opportunity

We are looking for an experienced Data Scientist to join Adobe’s Go-To-Market (GTM) Data Science & Analytics team. In this role, you will help build growth strategy for Adobe’s Adobe.com B2C business. You will apply data science to key moments across the entire customer journey, from acquisition and conversion to engagement, monetization, and retention.

You will partner closely with teams across GTM Strategy, Product, Marketing, and Finance to identify growth opportunities, explain performance shifts, improve decision-making, and influence strategy through data. This is a high-impact role for someone who enjoys solving ambiguous business problems, connecting data to action, and working directly with cross-functional leaders.

What you'll do

Analyze customer behavior across the end-to-end funnel to identify factors influencing acquisition, conversion, retention, and churn.
Use exploratory data analysis to uncover hidden patterns throughout the customer lifecycle. You’ll investigate anomalies in the funnel, identifying whether shifts are driven by market trends, product changes, or technical friction.
Drive Run-the-Business (RTB) by analyzing weekly performance across the GTM funnel to understand drivers of acquisition and retention.
Communicate insights clearly to senior leaders, turning complex analysis into simple, decision-ready narratives
Elevate the team’s technical bar by contributing to shared code libraries, peer-reviewing complex analyses, and partnering with Data Engineering to optimize our data architecture for high-velocity analytics.

What You Need to Succeed

5+ years of experience in data science, analytics, experimentation, or applied statistics, ideally in a B2C SaaS, subscription, e-commerce, or digital product environment.
Strong SQL and Python skills, with experience working with large-scale datasets in modern data environments such as Databricks, Spark, or similar platforms.
Strong foundation in statistics and quantitative methods, including areas such as regression, hypothesis testing, forecasting, experimentation, causal inference, or predictive modeling.
Experience using data to solve business problems in partnership with non-technical partners.
Ability to work independently in ambiguous environments, prioritize effectively, and drive projects from problem definition through recommendation.
Experience with visualization tools such as Tableau or Power BI.
MS in a quantitative field (Statistics, Computer Science, Economics, Mathematics, or related) or equivalent experience.

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 protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

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 $133,100 -- $236,400 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.



In California, the pay range for this position is $163,200 - $236,400


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 Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.