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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Adobe Inc. - **Location:** Lehi, UT, United States - **Experience:** Experienced - **Salary:** $109,000.0 - $200,700.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Artificial Intelligence, Data Analysis, Big Data, Cloud Computing, Data Visualization, Python (Programming Language), Raw Data, Power BI, SQL Databases, Tableau (Software), Unstructured Data, Scripting, Adobe, Databricks - **Published:** September 10, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18237587?backUrl=%2Fcareer%2F18237587%2FData-Scientist-Utah-Lehi ## About the Role * 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. Nice to Have: * Background in economics, econometrics, forecasting, or time-series analysis. * Experience with Adobe Analytics, Experience Cloud, or Customer Journey Analytics. * Data visualization tools (Tableau, Power BI, or D3). * Experience working with survey data and methodology. * Familiarity with R or other scripting languages. About Adobe ## Description 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. What you'll Do * 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. ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Making Data Warehouses fast. 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