• Minimum 4 years of experience in data science, analytics engineering, ML operations, or AI
• Proficiency in Python, SQL, and data pipeline tools (Airflow, Spark, pandas, dbt, or equivalent); working knowledge of relational and cloud data platforms (PostgreSQL, Snowflake, or equivalent)
• Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources
• Familiarity with ML model deployment and monitoring in cloud environments (AWS, Azure, or equivalent)
• Experience working under technical oversight in an integrated government delivery team
• Strong documentation practices and ability to maintain auditable process records