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Listing evidence and provenance
- Source
- Greenhouse View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed October 7, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Energy Management
- Pay provenance
- Pay not available
Job Description
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.
Key Responsibilities
- 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.
Requirements
- 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.
Ready to Apply?
Apply directly on Hut 8's site
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