Data Scientist

What you'll do

• Query and mine large structured and unstructured datasets using SQL and Python to produce accurate insights.
• Manage the full data lifecycle from raw processing and analysis to final downstream products and dashboards.
• Build and maintain recurring metrics, indices, and reports for digital economy reporting.
• Translate complex analytical findings into clear narratives and visualizations for non-technical audiences.
• Perform ad-hoc deep dives to answer time-sensitive questions from internal collaborators.
• Utilize AI tools and agentic models to accelerate data exploration, analysis, and drafting processes.
• Partner with engineering teams to define data requirements and improve backend pipelines.

What we're looking for

• A degree or equivalent experience in a quantitative field such as economics, statistics, mathematics, or data science.
• 4–6 years of experience turning data into insights in an analytical, data science, or research role.
• Proficiency in querying with SQL and analyzing with Python to answer business questions.
• Experience using AI and agentic tools to accelerate exploration, analysis, and drafting while ensuring quality.
• Hands-on experience with Databricks or a comparable large-scale data platform.
• Strong analytical and quantitative problem-solving skills to form hypotheses and synthesize recommendations.
• Ability to translate complex findings into clear narratives and visualizations for non-technical audiences.
• Background in economics, econometrics, forecasting, or time-series analysis (preferred); experience with Adobe Analytics, Experience Cloud, or Customer Journey Analytics (preferred).