Data Scientist, Principal

Drive advanced analytics and ML that translate into business outcomes. As a Principal Data Scientist at Hut 8, you will lead hands-on development of predictive, forecasting, and optimization solutions to improve decision-making and performance, and to build new products and capabilities across the organization.

This role is based onsite in Miami, FL (Brickell area). You will shape the data science roadmap while partnering closely with Data Operations and Software Engineering to ensure reliable data and smooth production integration.

What you’ll do

• Identify and prioritize high-impact data science opportunities across Hut 8’s technology, energy, infrastructure, AI, colocation, cloud, and mining businesses.
• Turn business questions into analytical frameworks, hypotheses, modeling strategies, success metrics, and measurable acceptance criteria.
• Develop, validate, and deploy models for forecasting, optimization, classification, ranking, and anomaly detection.
• Use statistical analysis, experimental design, hypothesis testing, causal inference, and scenario modeling to quantify impact.
• Own the end-to-end data science lifecycle: exploratory analysis, feature engineering, model development, validation, deployment, monitoring, and iteration.
• Create reusable analytical products, decision-support tools, models, reports, and visualizations that help leaders and operators move faster with more confidence.
• Set standards for model evaluation, interpretability, reproducibility, documentation, experimentation, and responsible machine learning use.
• Develop evaluation frameworks for AI and agentic workflows, including benchmark datasets and metrics for retrieval and response quality (groundedness, relevance, and feedback analysis).
• Partner with Data Operations and Software Engineering on source data requirements, data quality issues, feature pipelines, production integrations, model serving, and monitoring.
• Improve analytical products over time using insights from data quality findings, model performance, and stakeholder feedback.
• Communicate findings, uncertainty, recommendations, and business impact through concise narratives, visualizations, reports, and executive presentations.
• Mentor data scientists and strengthen organizational capability across statistical thinking, machine learning, experimentation, and data-driven decision-making.

What you bring

• Bachelor’s or master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Business Analytics, or a related field; an advanced degree preferred.
• 6+ years of progressive experience in data science, machine learning, advanced analytics, or a closely related discipline, including leading high-impact initiatives.
• Strong proficiency in Python and SQL, with advanced experience using scikit-learn, XGBoost, PyTorch, TensorFlow, or comparable tools.
• Deep understanding of statistical modeling, hypothesis testing, experimental design, model evaluation, feature engineering, and core ML fundamentals.
• Experience operationalizing models in production, including versioning, reproducibility, monitoring, performance evaluation, and collaboration with engineering teams.
• Experience with time-series data, forecasting, optimization, anomaly detection, or other methods for complex operational and business problems.
• Large language model and AI evaluation experience is strongly preferred, including NLP, retrieval-augmented generation, intelligent agents, or evaluation methods for AI-enabled products.
• Ability to move from ambiguous business needs to rigorous analytical approaches, practical recommendations, and measurable outcomes.
• Familiarity with cloud data platforms such as Snowflake or BigQuery, including data warehouses, data modeling, data quality, and lineage concepts.
• Excellent written and verbal communication skills, including explaining technical concepts, limitations, uncertainty, and tradeoffs to non-technical and senior stakeholders.
• Technical leadership and mentoring experience, with success working across business, data, software, and infrastructure teams.
• Preferred experience: Airflow or Luigi, Git, CI/CD, cloud infrastructure, Tableau or Metabase, semantic layers, knowledge bases, embeddings, or metadata management.

Technologies

Python, SQL, scikit-learn, XGBoost, PyTorch, TensorFlow, Snowflake, BigQuery, Airflow, Luigi, Git, CI/CD, Tableau, Metabase, embeddings

About the role

As Principal, Data Scientist, you will lead the development of advanced analytical and machine learning solutions to help Hut 8 make better decisions, improve performance, and create new products and capabilities. This is a hands-on technical leadership role where you frame ambiguous problems, identify high-value opportunities, and deliver models, insights, and decision-support products with measurable impact.

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

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.