Junior Data Scientist

Responsibilities: Develop intelligent tools, predictive models, and AI-powered solutions to improve operational efficiency and clinical workflows. Collaborate cross-functionally to translate business needs into technical data products and monitor performance via dashboards.

Requirements: Requires 1-3 years of experience in data science or analytics with strong proficiency in Python and SQL. Candidates should have exposure to Generative AI, LLMs, and cloud data warehouses, preferably with a degree in a quantitative field.

Key skills: Python, SQL, Generative AI, Machine Learning, Large Language Models, Snowflake, dbt, Data Visualization, Predictive Modeling, Prompt Engineering, Analytical Frameworks, Git, Tableau, Looker, Power BI, Metabase

Keywords: Python, SQL, Snowflake, dbt, Generative AI, LLMs, Machine Learning, Tableau, Looker, Power BI, Metabase, Git, Predictive Modeling, Prompt Engineering, AI Agents, Healthcare Data, Digital Health, Data Modeling, Data Visualization, Cardiometabolic Obesity, Value-Based Healthcare, Analytics, Automation, Cloud Data Warehouse, BigQuery, Redshift, Knowledge Retrieval, Copilots, Document Processing, Experimental Design