Data Scientist, Principal

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 worlds 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 youre an ambitious individual looking for a career that is as rewarding as it is challenging youve come to the right place.

ABOUT THE ROLE

As Principal Data Scientist you will lead the development of advanced analytical and machine learning solutions that help Hut 8 make better decisions improve performance and create new products and capabilities. You will work across the organization to frame ambiguous business problems identify high-value opportunities for data science and turn complex data into models insights and decision-support products with measurable impact.

This is a hands-on technical leadership role. You will shape the data science roadmap establish strong modeling and experimentation practices and serve as a senior advisor to business and technical leaders. You will partner with Data Operations and Software Engineering to ensure reliable access to well-defined data while maintaining primary ownership of the analytical approach model quality and business outcomes.

• Identify and prioritize high-impact opportunities for data science across Hut 8s technology energy infrastructure AI colocation cloud and mining businesses.
• Translate business questions into clear analytical frameworks hypotheses modeling strategies success metrics and measurable acceptance criteria.
• Develop validate and deploy predictive forecasting optimization classification ranking and anomaly-detection models that solve complex business problems.
• Apply statistical analysis experimental design hypothesis testing causal inference and scenario modeling to evaluate decisions and quantify business impact.
• Lead the end-to-end data science lifecycle including exploratory analysis feature engineering model development validation deployment monitoring and iteration.
• Build reusable analytical products decision-support tools models reports and visualizations that enable leaders and operating teams to act with greater speed and confidence.
• Establish standards for model evaluation interpretability reproducibility documentation experimentation and responsible use of machine learning.
• Develop evaluation frameworks for AI and agentic workflows including benchmark datasets retrieval and response quality measures groundedness relevance and user feedback analysis.
• Partner with Data Operations and Software Engineering on source data requirements data quality issues feature pipelines production integrations model serving and monitoring.
• Use data quality findings model performance and stakeholder feedback to improve analytical products and ensure they remain reliable and useful over time.
• Communicate technical findings uncertainty recommendations and business impact clearly through concise narratives visualizations reports and executive presentations.
• Mentor data scientists and raise the organizations capabilities in statistical thinking machine learning experimentation and data-driven decision-making.

ABOUT YOU

• Bachelors or masters degree in Data Science Statistics Computer Science Engineering Mathematics Business Analytics or a related field; advanced degree preferred.
• 6 years of progressive experience in data science machine learning advanced analytics or a closely related discipline with a demonstrated record of leading high-impact initiatives.
• Strong proficiency in Python and SQL with advanced experience using statistical and machine learning libraries such as scikit-learn XGBoost PyTorch TensorFlow or comparable tools.
• Deep understanding of statistical modeling hypothesis testing experimental design model evaluation feature engineering and machine learning fundamentals.
• Experience developing and operationalizing models in production including model versioning reproducibility monitoring performance evaluation and collaboration with engineering teams.
• Demonstrated ability to work with time-series data forecasting optimization anomaly detection or other analytical methods relevant to complex operational and business problems.
• Experience applying large language models natural language processing retrieval-augmented generation intelligent agents or evaluation methods for AI-enabled products is strongly preferred.
• Strong ability to move from ambiguous business problems to rigorous analytical approaches practical recommendations and measurable outcomes.
• Familiarity with cloud data platforms such as Snowflake or BigQuery data warehouses data modeling data quality and lineage concepts.
• Excellent written and verbal communication skills including the ability to explain technical concepts model limitations uncertainty and tradeoffs to non-technical stakeholders and senior leaders.
• Demonstrated technical leadership mentoring ability and success working across business data software and infrastructure teams.
• Experience with Airflow or Luigi Git CI/CD cloud infrastructure Tableau Metabase semantic layers knowledge bases embeddings or metadata management 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 are proud to invest in building the best team in the industry. At all levels of the organizationwe 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