Data Scientist, Principal
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What you'll do
- 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, 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 organization’s capabilities in statistical thinking, machine learning, experimentation, and data-driven decision-making.
What they're looking for
- 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 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.
- 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.
Nice to have
- Experience applying large language models, natural language processing, retrieval-augmented generation, intelligent agents, or evaluation methods for AI-enabled products is strongly preferred.
- Experience with Airflow or Luigi, Git, CI/CD, cloud infrastructure, Tableau, Metabase, semantic layers, knowledge bases, embeddings, or metadata management is preferred.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
ABOUT HUT 8
Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 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.
- 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, 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 organization’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 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, and short-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 organization, 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 backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting
▶ Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government
▶ Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep 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-edge intersection of technology, energy, and infrastructure
Company
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