Digital Operations Engineer

📋 Description

• Apply statistical analysis, machine learning, and data science methods to solve business problems
• Leverage enterprise data platforms (e.g., Snowflake, BigQuery) to prepare, transform, and model
• Support the design and implementation of AI-enabled workflows, including intelligent agents
• Develop and maintain dashboards, reports, and analytical models that enable data-driven
• Collaborate with cross-functional teams to assess AI transformation opportunities, scope use cases
• Support the enterprise data foundation by contributing to data quality, governance, semantic

🎯 Requirements

• Master's degree in Business Analytics, Statistics, Computer Science, Mathematics, Data Science
• Strong foundation in statistics, machine learning, and quantitative analysis methods, with
• Knowledge of data warehousing concepts, ETL processes, and cloud-based data platforms.
• Familiarity with machine learning techniques including classification, regression, clustering, and
• Understanding of artificial intelligence concepts including natural language processing, large
• Strong analytical and problem-solving skills with the ability to translate business needs into

🎁 Benefits

• Medical, dental, vision, life, and short-term and long-term disability insurance
• Paid time off