Associate or Manager, Data Science (Renewable Energy)

Location: Greenwood Village, Colorado, United States

Annual base salary: $150,000–$175,000, depending on title and experience. Additional compensation includes a year-end bonus, guaranteed during the first year of hire.

Company

hirify.global owns and operates renewable energy projects across the United States, with approximately 13 gigawatts of contracted capacity across more than 85 projects in 24 states.

What you will do

• Lead the enterprise data science strategy and roadmap across operational and corporate functions.
• Partner with teams across the organization to identify and prioritize high-impact analytics initiatives.
• Develop predictive and prescriptive models for asset performance, operational efficiency, forecasting, and portfolio optimization.
• Translate technical findings into actionable insights for senior leadership and non-technical stakeholders.
• Evaluate AI, machine learning, and advanced analytics technologies relevant to renewable energy.
• Support the evolution of data infrastructure, reporting, and business intelligence capabilities.

Requirements

• Undergraduate or graduate degree in data science, statistics, computer science, engineering, mathematics, economics, or a related quantitative field.
• At least 3 years of experience in data science, advanced analytics, machine learning, or quantitative modeling, including leadership experience with teams and enterprise initiatives.
• Strong expertise in statistical modeling, machine learning, predictive analytics, optimization techniques, and data visualization.
• Advanced proficiency in Python, SQL, modern analytics and machine learning frameworks, and cloud-based data platforms.
• Understanding of data engineering principles, ETL workflows, and large-scale data environments.
• Ability to lead cross-functional initiatives, influence senior stakeholders, and communicate complex analysis clearly.

Nice to have

• Experience in renewable energy, utilities, energy markets, infrastructure, or industrial operations.
• Familiarity with forecasting models, SCADA data, IoT systems, energy market analytics, or grid operations.

Culture & Benefits

• Lean teams with individual ownership, efficient execution, and limited bureaucracy.
• Collaborative environment emphasizing accountability, integrity, creativity, intellectual curiosity, and continuous improvement.
• Medical and prescription drug coverage.
• 401(k) contribution matching, paid time off, wellness reimbursement, and family building benefits.
• Charitable gift matching program.