Principal Data Scientist

Position Summary

A Principal Data Scientist plays a crucial role in guiding and mentoring junior data analysts while advocating for best practices in statistical analysis, modeling, and Big Data capabilities. This role is pivotal in fostering effective working relationships and developing data-driven solutions that align with business goals. The Senior Data Scientist ensures the integrity and accuracy of statistical processes within the department and explores innovative data science opportunities.

• Advising and providing mentorship and guidance to junior data analysts.
• Advocating for best‑in‑class processes and techniques for statistical analysis, modeling, and Big Data capabilities.
• Fostering effective working relationships and data‑fueled solutions that drive the business toward its goals.
• Ensuring statistical integrity, accuracy, and adequacy within the department.
• Innovating, exploring, and practicing the art of “the possible” to uncover valuable data science opportunities and bring them to fruition.
• Conducting research, designing, implementing, and deploying scalable data analytics and machine learning solutions.
• Dissecting complex problems and finding data‑driven solutions; addressing various business issues by leveraging diverse data sources.
• Developing and maintaining an analytics infrastructure for widespread use.
• Delivering advanced AI and GenAI models to enable desired business outcomes.
• Performing development at all stages in the data science lifecycle; working autonomously and taking ownership of projects and driving them forward.
• Clearly communicating findings to technical and non‑technical enterprise stakeholders in addition to various levels of organizational leadership.

• Postgraduate degree required in computer science, data science, math, statistics, or a related analytical field.
• A minimum of 7 years of professional data science experience.
• Proficient in various data modeling techniques and can demonstrate successful implementations in past projects.

• Experience in the utilities, energy, or infrastructure domain, with exposure to grid analytics, planning or customer usage modeling.
• Familiarity with large‑scale data platforms such as Databricks, Spark, or cloud‑based analytics environments.
• Understanding of traditional enterprise architectures and relational database environments.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Individuals with a disability who need an accommodation to apply please contact us at

The anticipated starting base pay for this position is: $ to $ per year.

• Annual Incentive Program
• Medical/Pharmacy Plan
• Dental
• Vision
• Life Insurance
• Dependent Care Reimbursement Account
• Health Care Reimbursement Account
• Health Savings Account (HSA, if enrolled in eligible health plan)
• Limited‑Purpose FSA (if enrolled in eligible health plan and HSA)
• Transportation Reimbursement Account
• Short‑term disability (STD)
• Long‑term disability (LTD)
• Employee Assistance Program (EAP)
• Fitness Center Reimbursement (if enrolled in eligible health plan)
• Tuition reimbursement
• Transit programs
• Employee recognition program
• Pension
• 401(k) plan
• Paid time off (PTO)
• Holidays
• Volunteer Paid Time Off (VPTO)
• Parental Leave