Adobe Data Science Job Openings 2026 – Apply Soon!

Qualifications

• Bachelor’s/Masters degree in Computer Science, Statistics, Economics, Data Science, Engineering, or another relevant quantitative field.
• 2-5 years of relevant experience in data analysis, data science, or forecasting — experience in a Web/Digital/GTM environment is a strong plus.
• Hands-on, production-level proficiency in Python (pandas, NumPy, and standard statistical/ML libraries) and SQL for data extraction, transformation, and analysis.
• Demonstrated experience building LLM-based applications — e.g., chatbots, AI agents, retrieval-augmented generation (RAG) pipelines, prompt-engineered tools, or automation “skills” — with a portfolio or examples you can walk through.
• Basic understanding of A/B testing / experimentation design (hypothesis formulation, statistical significance, read-out).
• Strong analytical and problem-solving skills, with the ability to translate data into a clear narrative for both technical and non-technical audiences.
• Hands-on experience with ML techniques such as regression and clustering is a good to have. Working knowledge of statistical forecasting concepts and applied methods.
• Hands-on experience with Adobe Analytics and/or Customer Journey Analytics (CJA) is a plus.
• Working knowledge of the web/digital marketing domain e.g., funnel metrics, page performance metrics, channel attriburion
• Working exposure to Databricks (or similar cloud-based data/lakehouse platforms) for querying and analyzing large-scale datasets.
• Proficient in Microsoft Excel and PowerPoint — expert at creating and using Excel pivot tables to drive analytics.
• Experience with data visualization tools, such as Tableau, Power BI, etc. is a plus.
• Excellent organizational and time-management skills; comfortable managing multiple deliverables in a fast-paced, cross-functional environment.
• Strong verbal and written communication skills.

• Gather, clean, and analyze data from Adobe Analytics / Customer Journey Analytics (CJA), Databricks/SQL tables, and other internal sources to support traffic and conversion forecasting for Adobe.com.
• Build, maintain, and improve Python-based statistical forecasting models across dimensions such as channel, geography, and device.
• Support the quarterly forecasting and target-setting process, helping scope enhancements and validate forecast accuracy against actuals & financial targets.
• Conduct performance deep-dives into traffic, conversion, and funnel metrics to diagnose the drivers behind trends and anomalies, and translate findings into clear, actionable stakeholder narratives.
• Support A/B test design, execution, and analysis — from hypothesis formulation through statistical read-out — to validate growth hypotheses and quantify the impact of website/product changes.
• Design, prototype, and ship LLM-based applications, chatbots, and AI agents/skills that enable stakeholders to query performance data, generate insights, and automate recurring reporting via natural language.
• Contribute to anomaly detection frameworks that proactively flag irregularities in traffic and order trends.
• Automate recurring reporting workflows to reduce manual effort and improve turnaround time for weekly and monthly business readouts.
• Partner with Finance, Product, and GTM teams to understand business context, gather requirements, and translate analysis into clear, actionable recommendations.
• Present findings and forward-looking commentary to stakeholders in a clear, structured, and data-driven manner.
• Continuously evaluate new data sources, tools, and modeling techniques (including applied LLM/GenAI methods) to improve forecasting accuracy and analyst productivity.