Digital Operations Engineer

• →Apply statistical analysis, machine learning, and data science methods to solve business problems across operational, financial, and strategic domains.
• →Leverage enterprise data platforms (e.g., Snowflake, BigQuery) to prepare, transform, and model datasets for analytics, reporting, and AI-driven applications.
• →Support the design and implementation of AI-enabled workflows, including intelligent agents, automated document processing, and decision-support tools.
• →Develop and maintain dashboards, reports, and analytical models that enable data-driven decision-making across business units.
• →Collaborate with cross-functional teams to assess AI transformation opportunities, scope use cases, and support implementation.
• →Support the enterprise data foundation by contributing to data quality, governance, semantic modeling, and integration efforts.
• →Assist in the evaluation, testing, and deployment of AI tools and platforms as part of the company's governed AI implementation model.
• →Communicate analytical findings and AI solution outcomes to technical and non-technical stakeholders through effective data storytelling.

• Master's degree in Business Analytics, Statistics, Computer Science, Mathematics, Data Science, Engineering, or a closely related field.
• Strong foundation in statistics, machine learning, and quantitative analysis methods, with proficiency in Python and SQL for data analysis, modeling, and automation.
• Knowledge of data warehousing concepts, ETL processes, and cloud-based data platforms.
• Familiarity with machine learning techniques including classification, regression, clustering, and forecasting.
• Understanding of artificial intelligence concepts including natural language processing, large language models, and retrieval-augmented generation.
• Strong analytical and problem-solving skills with the ability to translate business needs into technical solutions.
• Excellent communication skills with the ability to present complex findings to non-technical audiences.

Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off.

CONTACT: Marcos Palacios, Director, Recruiting, U.S. Data Mining Group, Inc., 777 Brickell Avenue, Suites 200 and 300, Miami, FL 33131