Senior Data Scientist, GTM Data Science

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 ... (truncated, view full listing at source)