Data Scientist

Hut 8 • Miami, FL

26d • Onsite

About The Position

Hut 8 is seeking a Data Scientist to join their team. This role involves owning or contributing to the enterprise data inventory, translating business needs into data requirements, and partnering with Data Operations and Software Engineering to improve data management processes. The Data Scientist will prepare enterprise data for agentic workflows, apply data science methods to develop models and reports, monitor data product reliability, and communicate findings to stakeholders. The position is based in the office at Hut 8's corporate headquarters in Miami, Florida.

Requirements

• Bachelor's or master's degree in data science, Statistics, Computer Science, Engineering, Business Analytics, Mathematics, or a related field.
• 6+ years of experience in data science, enterprise data management, analytics engineering, data engineering, or a closely related discipline.
• Strong proficiency in Python and SQL, with experience working with relational databases, data warehouses, and ETL/ELT processes.
• Familiarity with cloud data platforms such as Snowflake or BigQuery, data modeling, data quality, and lineage concepts.
• Understanding of machine learning and AI concepts, including large language models, natural language processing, retrieval-augmented generation, and intelligent agents.
• Strong ability to connect business processes to data structures, analytical outputs, and practical implementation plans.
• Clear written and verbal communication skills and the ability to work effectively across technical and business teams.

Nice To Haves

• Experience with semantic layers, ontologies, metadata management, knowledge bases, embeddings, agent evaluation, Airflow or Luigi, Tableau, Metabase, Git, CI/CD, or cloud infrastructure is preferred.

Responsibilities

• Own or contribute to the enterprise data inventory, including priority systems, data owners, business definitions, lineage, dependencies, and quality gaps.
• Translate business processes and stakeholder needs into data requirements, source mappings, data models, quality rules, and measurable acceptance criteria.
• Partner with Data Operations and Software Engineering to improve ingestion, transformation, integration, monitoring, governance, and lifecycle management.
• Prepare and maintain enterprise data for agentic workflows by supporting semantic layers, knowledge bases, metadata, retrieval indexes, data contracts, access controls, and evaluation datasets.
• Apply data science and analytical methods to develop reusable models, reports, dashboards, and decision-support products.
• Monitor the reliability and usefulness of data products and agentic workflows, using quality findings and user feedback to drive continuous improvement.
• Communicate data limitations, recommendations, and business impact clearly to technical and non-technical stakeholders.

Benefits

• medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior