Principal, Data Scientist

Hut8; Miami (FL); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Benefits and wellness program

Job summary

Hut 8 is seeking a Principal, Data Scientist to lead advanced analytics and ML initiatives across its data-driven businesses. You will frame complex problems, design models, and deliver decision-support products that drive measurable impact from the data to inform executive decisions.

This hands-on leadership role shapes the data science roadmap, enforces robust modeling practices, and partners with Data Operations and Software Engineering to ensure reliable data access and production readiness.

Qualifications

• 6+ years of data science experience with leadership in initiatives.
• Proficient in Python and SQL; strong ML fundamentals.
• Production experience with model versioning, monitoring, and governance.
• Experience with time-series, forecasting, anomaly detection, and ML tooling.

Responsibilities

• Identify high-impact opportunities and define analytical strategies across Hut 8’s businesses.
• Lead end-to-end data science lifecycle from data framing to model deployment.
• Develop and validate predictive, forecasting, and anomaly-detection models.
• Collaborate with Data Operations and Software Engineering to ensure data quality and reproducibility.

Skills

Python

SQL

Time-series analysis

Forecasting

Machine learning

Leadership

Education

Bachelor’s or Master’s in Data Science or related field

Tools

scikit-learn

XGBoost

PyTorch

TensorFlow

Airflow

Git

Tableau

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

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.

Some of the key responsibilities you should expect are the following:

• Identify and prioritize high-impact opportunities for data science across Hut 8’s technology, energy, infrastructure, AI, colocation, cloud, and mining businesses.
• Translate business questions into clear analytical frameworks, hypotheses, modelling strategies, success metrics, and measurable acceptance criteria.
• Develop, validate, and deploy predictive, forecasting, optimisation, classification, ranking, and anomaly-detection models that solve complex business problems.
• Apply statistical analysis, experimental design, hypothesis testing, causal inference, and scenario modelling 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 visualisations 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, visualisations, reports, and executive presentations.
• Mentor data scientists and raise the organisation’s capabilities in statistical thinking, machine learning, experimentation, and data-driven decision-making.

ABOUT YOU

• Bachelor’s or master’s 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 modelling, hypothesis testing, experimental design, model evaluation, feature engineering, and machine learning fundamentals.
• Experience developing and operationalising models in production, including model versioning, reproducibility, monitoring, performance evaluation, and collaboration with engineering teams.
• Demonstrated ability to work with time-series data, forecasting, optimisation, 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 modelling, 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 off.We are proud to invest in building the best team in the industry. At all levels of the organisation,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 boardofdirectors 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