Data Scientist
About The Position
Hut 8 is seeking a Data Scientist to contribute to enterprise data inventory, translate business needs into data requirements, and partner with Data Operations and Software Engineering to enhance data management processes. The role involves preparing enterprise data for agentic workflows, applying data science methods to develop models and reports, monitoring data product reliability, and communicating findings to stakeholders. This position offers the opportunity to work at the forefront of technology, energy, and infrastructure, contributing to next-generation computing workloads like AI, Colocation, Cloud, and Bitcoin Mining.
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
- paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
