Data Scientist

Hut8; Miami (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Hut8 is seeking a senior data scientist / analytics engineer to own and enhance the enterprise data inventory, definitions, lineage, and quality. You will translate business needs into data requirements, model data, and develop dashboards and decision-support tools.

You will partner with Data Operations, Software Engineering, and analytics teams to improve ingestion, governance, and lifecycle management. The role emphasizes data quality, semantic layers, and embedding ML concepts into practical

Qualifications

• 6+ years of experience in data science, enterprise data management, analytics engineering, data engineering, or related discipline.

Responsibilities

• Own or contribute to enterprise data inventory including data owners, definitions, lineage, dependencies, and quality gaps.
• Translate business needs into data requirements, source mappings, models, quality rules, and 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 including semantic layers, metadata, and access controls.
• Apply data science methods to develop reusable models, reports, dashboards, and decision-support tools.
• Monitor data product reliability and use feedback to drive continuous improvement.
• Communicate limitations, recommendations, and business impact clearly to technical and non-technical stakeholders.

Skills

Python

SQL

Data warehousing

ETL/ELT

Cloud platforms

ML concepts

Communication

Cross-functional collaboration

Education

Bachelor's or Master's degree in data science or related field

Tools

Airflow

Luigi

Tableau

Metabase

Git

CI/CD

Snowflake

BigQuery

Job description

ABOUT HUT 8

Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut8 is on a mission to build and operate some of the world’s largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you’re an ambitious individual looking for a career that is as rewarding as it is challenging, you’ve come to the right place.

ABOUT THE ROLE

• 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.

ABOUT YOU

• 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.
• 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.

ABOUT THE WORK ENVIRONMENT

This role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

WHAT MAKES HUT 8 A GREAT PLACE TO WORK

Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, andshort-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization,we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality.

At Hut 8, you will have the opportunity to:

• Work with bright, driven peers from a range of educational and professional backgroundsincluding software development, energy, engineering, entrepreneurship, investmentbanking, private equity, and management consulting
• Design and pitch new products, services, and other initiatives to a leadership teamconsisting of serial entrepreneurs and seasoned executives and backed by a board ofdirectors consisting of industry veterans of energy, finance, and government
• Debate ideas and alternatives in a truly meritocratic setting where the learning curve issteep and the lessons come from both senior and junior members of the team
• Build a lifelong network of friends and professional connections at the cutting-edgeintersection of technology, energy, and infrastructure