Principal Data Scientist

Responsibilities

• Design, manage, and optimize complex, interconnected data pipelines using Palantir Foundry and PySpark.
• Develop intuitive user interfaces to translate advanced analytics into actionable insights.
• Quantify wildfire mitigation program performance on the electric system.
• Create predictive models using Python or PySpark in Foundry or AWS.
• Interpret and represent meteorological data in models combining various data sources.
• Design statistical methodology and architect solutions for risk model outputs.
• Lead the design, development, and execution of scripts, programs, models, and algorithms.
• Educate non-technical community on data science solutions.
• Present findings and make recommendations to senior management.

Requirements

• Master’s Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field.
• Minimum 8 years of experience in Data Science, or 2 years if possessing a Doctoral Degree or higher in relevant fields.

Preferred Skills

• Doctorate Degree in relevant fields.
• Expertise in experimental design and causal inference methods.
• Expertise in statistical methods for time series analysis, statistical modeling, and probabilistic risk assessment.
• Relevant industry experience (electric or gas utility, data science consulting, etc.).
• Familiarity with supervised, unsupervised, deep learning & physics-based methods for modeling electrical infrastructure failure modes.
• Competency with data science standards and processes, including model evaluation, optimization, and feature engineering.
• Proficiency with Python or PySpark, code reviews, and code development best practices.
• Mastery in clearly communicating complex technical details and insights.
• Ability to develop, coach, teach, and mentor others.