Data Scientist, Senior

Pacific Gas And Electric Company•Oakland, CA

1d•Hybrid

About The Position

PG&E is looking for a senior Data Scientist with experience in Computer Vision delivering data science products end-to-end. In this role, the successful candidates will be uniquely positioned at the forefront of utility industry analytics, having the opportunity to advance PG&E’s triple bottom line of People, Planet, and Prosperity. This team works on a wide variety of difficult problems, offering great variety in the work, and constant opportunity to explore and learn. Current and past engagements include: Developing computer vision models that improve, accelerate, and automate grid asset inspections processes Predicting electric Transmission & Distribution equipment failure before it occurs, allowing for proactive maintenance Forming the analytical framework behind PG&E’s Transmission Public Safety Power Shutoff PG&E is providing the full salary/pay range for this position. The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The range to reasonably expect will be around the minimum and the midpoint $126,000 - $163,000. The final decision will be made on a case-by-case basis related to the factors above. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.

Requirements

Bachelor’s degree in data science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field
4 years of experience in computer vision, machine learning, and/or image processing

Nice To Haves

Master’s degree in data science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field
Advanced software engineering skills and experience with Python programming
knowledge of deep learning, including semantic segmentation and object detection
Ability to learn, adapt and utilize new technology related to the Power-I Substation Monitoring Platform
Advanced interpersonal, communications and presentation skills
Advanced analytical and problem-solving skills
Advanced computer skills with emphasis on Microsoft Office products to prepare reports, analysis and schedules
Experience with handling large datasets and cloud computing platforms (e.g. AWS, Azure, GCP, or other enterprise level analytics platforms
Experience turning business needs into technical requirements, and structuring developments, analysis and validation plans to meet requirements
Relevant industry experience (electric or gas utility, EV charging infrastructure, Vehicle-Grid integration, distributed energy resources, analytics consulting, etc.)

Responsibilities

Develop, calibrate, validate, and maintain scalable computer vision ML algorithms to extract intelligence from image-based data.
Iterate and incorporate new ML algorithms to continuously improve product performance under a variety of conditions.
Identify optimal analytical methods and solutions for algorithm development.
Provide insight and recommendations for the architecture design based on information obtained from machine learning algorithms, advanced mathematical models, and business expertise.
Create data pipelines to add structure to the resultant data extracted from images, and work to integrate the data into other algorithms and visualization tools and platforms.
Provide technical expertise in building an analytics-driven product pipeline.
Assess needs and recommend experiments and projects, suggest new algorithmic development, and drive tactical decisions about approaches and data requirements.
Collaborate with end-user and product owners to understand computer vision needs.
Design and implement methodologies for testing and accuracy assessment.
Provide production support for computer vision components.
Further the goals and positive, professional image of the Division through effective dealings with customers, stakeholders and other MEPPI divisions.