Data Scientist, US Decision Intelligence

What you'll do

• Develop and deploy ML models and insight pipelines for forecasting, anomaly detection, attribution, causal inference, and recommendations.
• Create sales-ready insights using statistical analysis, LLM prompt engineering, dashboards, and GenAI tools; evaluate agent performance.
• Partner across technical and business teams to support experimentation, scale features, and guide data models and KPI definitions.

What they ask for

• 4+ years in a Data Science, Data Analysis, or Data Visualization role.
• Hands-on experience with LLMs, RAG architectures, and prompt engineering; proficiency in Python and ML/data science libraries.
• Applied statistical analysis and predictive modeling knowledge; proficiency in SQL and experience with cloud data platforms.
• Bachelor’s degree in a related field; experience with Git, production collaboration, and communicating technical findings to non-technical stakeholders.

Nice to have

• Production experience with GenAI frameworks; familiarity with LLM observability and evaluation tools.
• Experience with vector databases, agent architectures, CI/CD, MLOps, drift detection, or model monitoring.

Pay

$144,600 and $218,000 USD base salary

Tools

Python, SQL, Snowflake, Spark, BigQuery, Tableau, Docker, Kubernetes

AI focus

Build ML models and automated insight pipelines; use LLMs, RAG, prompt engineering, AI agents, and GenAI-powered tools; evaluate agent interactions for factual accuracy, latency, and user satisfaction.