Data Scientist

Adobe Digital Insights (ADI) has been a leading authority on the global digital economy since 2013, building its analysis on trillions of visits, billions of online transactions, and the prompts behind billions of AI-generated assets crafted with Adobe Firefly. ADI works with creators, marketers, and business leaders, up to C-level leadership at Adobe’s largest customers, to help them understand how the digital economy is shifting and how their business is performing relative to industry peers using Adobe’s unique data. ADI’s mission is to inspire and delight all of Adobe’s audiences with leading, credible, differentiated, data-driven insights . We are transitioning to an agentic AI operating model, where LLM-powered agents are embedded across the end-to-end insights lifecycle, from raw data to business-ready insight products to audience-ready narrative. This role puts you in the middle of that work as a hands-on analyst turning Adobe’s data into the insights and stories our audiences rely on.

Summary We are seeking a Data Scientist to support ADI’s digital economy work first and foremost. You will query and develop large datasets into trusted, repeatable insights. You will build the digital economy metrics and reports ADI is known for, and stepping in wherever the team needs analytical horsepower, from analysis of US dollar inflation to benchmarking critical web metrics. This is a hands-on analysis role for someone who loves finding the story in the data and getting it right. This is a full-stack role: you will work end to end from raw data through processing and analysis to the data products downstream users depend on. Along the way you will collaborate with engineering, analysts, architects, product managers, and leadership, becoming a go-to ADI subject-matter expert.

Own your work across the whole stack — from raw data and processing, through analysis, to data products downstream users and dashboards depend on. Query, prioritize, and mine large structured and unstructured datasets (Adobe Analytics, Experience Cloud, CJA, and licensed sources) to produce accurate, defensible insights. Build and maintain the recurring analyses, metrics, and indices behind ADI’s digital economy reporting, turning clean inputs into trusted outputs. Flex to support any ADI topic as priorities shift across creativity trends, document efficiency, traffic based on data analysis, and product insights. Turn analysis into clear narratives and visualizations that non-technical audiences can understand and act on. Run ad-hoc deep dives and answer time-sensitive questions from collaborators across Adobe. Work AI-natively using ADI’s AI tools and agents to speed up exploration, analysis, and drafting, while keeping a careful human eye on quality and consistency. Partner with engineering to define data requirements and improve the pipelines and datasets you rely on. What you need to succeed A degree or equivalent experience in a quantitative field (economics, statistics, mathematics, data science, or similar). 4–6 years turning data into insight in an analytical, data science, or research role. Strong data-analyst and insights skills querying with SQL and analyzing with Python to answer real business questions, not modeling for its own sake. AI-native: proficient using AI and agentic tools to accelerate exploration, analysis, and drafting, with a careful human eye on quality. Hands-on experience with Databricks (or a comparable large-scale data platform). Strong analytical and quantitative problem-solving, forming hypotheses, testing them, and synthesizing clear recommendations. A knack for data storytelling: explaining complex findings simply, in both writing and visuals. Curiosity, care, and self-direction in a fast paced environment with shifting priorities; collaborative across teams and levels.

Background in economics, econometrics, forecasting, or time-series analysis. Experience