Description
Adobe Digital Insights (ADI) is seeking a Data Scientist to support its digital economy work. The successful candidate will query and develop large datasets into trusted, repeatable insights. They will build digital economy metrics and reports, and provide analytical horsepower to the team.
Responsibilities:
- Own 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 to produce accurate, defensible insights.
- Build and maintain recurring analyses, metrics, and indices behind ADI's digital economy reporting.
- Flex to support any ADI topic as priorities shift.
- 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.
- Partner with engineering to define data requirements and improve pipelines and datasets.
Requirements:
- 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.
- AI-native: proficient using AI and agentic tools to accelerate exploration, analysis, and drafting.
- 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.
Expected Pay Range: $109,000 - $200,700 annually