Full Job Description
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.
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.
