Data Scientist

Quick Facts

Role Summary: Hands-on full-stack Data Scientist supporting ADI’s digital economy work.

Focus: Query and develop large datasets into trusted, repeatable insights; build digital economy metrics and reports; turn analysis into narratives and visualizations for non-technical audiences.

Description

This role is part of a transition to an agentic AI operating model, where LLM-powered agents are embedded across the insights lifecycle—from raw data to business-ready insight products and audience-ready narrative. You will work end to end from raw data through processing and analysis to downstream data products, collaborating with engineering, analysts, architects, product managers, and leadership.

Responsibilities

• 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.

Requirements

• 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 SQL querying and Python analysis skills to answer real business questions.
• AI-native proficiency 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: hypotheses, testing, and synthesis into clear recommendations.
• A knack for data storytelling: explaining complex findings simply in writing and visuals.
• Curiosity, care, and self-direction in a fast paced environment with shifting priorities; collaborative across teams and levels.

Benefits

Expected Pay Range: $109,000–$200,700 annually (U.S. markets); in California: $138,600–$200,700. Starting salaries for non-sales roles are expressed as base salary, with eligibility for short-term incentives through an Annual Incentive Plan (AIP), and some roles may also be eligible for long-term incentives via equity awards.

Equal Employment Opportunity employer; accessibility accommodations available for applicants with disabilities or special needs.