Data Scientist
Hut 8 is an energy infrastructure platform that develops and operates power, digital infrastructure, and compute assets. Its platform supports energy-intensive technologies, including AI and Bitcoin mining.
Funding history
About Hut 8
Hut 8 develops, commercializes, and operates an integrated portfolio of power, digital infrastructure, and compute assets. It manages energy assets such as powered land, interconnects, substations, and switchyards; operates purpose-built facilities for energy-intensive applications; and deploys specialized hardware for technologies including AI and Bitcoin mining.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will manage enterprise data inventories and translate business needs into data requirements source mappings models quality rules and acceptance criteria. You will partner on ingestion and transformation improvements prepare data for agentic workflows develop analytical products and monitor data reliability and business impact.
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 related discipline.
- Strong proficiency in Python and SQL.
- Experience with relational databases data warehouses and ETL/ELT processes.
- Familiarity with Snowflake or BigQuery data modeling data quality and data lineage.
- Understanding of machine learning AI large language models natural language processing retrieval-augmented generation and intelligent agents.
- Ability to connect business processes to data structures analytical outputs and implementation plans.
- Clear written and verbal communication skills across technical and business teams.
- Experience with semantic layers ontologies metadata management knowledge bases embeddings agent evaluation Airflow Luigi Tableau Metabase Git CI/CD or cloud infrastructure is preferred.
Responsibilities
- Own or contribute to the enterprise data inventory including owners definitions lineage dependencies and quality gaps.
- Translate business processes and stakeholder needs into data requirements source mappings data models quality rules and acceptance criteria.
- Partner with Data Operations and Software Engineering on ingestion transformation integration monitoring governance and lifecycle management.
- Prepare enterprise data for agentic workflows through 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.
- Use quality findings and user feedback to drive continuous improvement.
- Communicate data limitations recommendations and business impact to technical and non-technical stakeholders.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Short-term disability insurance
- Long-term disability insurance
- Paid time off