Data Science/Engineer, Associate
Location: Oakland, California
Requisition ID # 171818-en_US
Our IT professionals are at the enterprise's core, leveraging modern technology to deliver safe and reliable energy to our customers. We use AI, the cloud, data science, and the latest tools and programming languages to solve hard, interesting problems and tackle challenges like the ever-growing threat of climate change, wildfires, and breaches of cyber security. Join us and experience the satisfaction of being a technology enabler for a company that leads the industry in innovation.
- Entry, Mid, Senior, Executive
- Full-Time
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Success Profile
What makes a successful Team Member at PG&E? Check out the top traits we’re looking for and see if you have the right mix.
- Adaptable
- Collaborative
- Creative
- Curious
- Results-driven
- Thoughtful
Benefits
PG&E is proud to provide a comprehensive benefits program to help you take care of your physical, emotional and financial health. In addition to the offerings below, you can expect inclusive programs in areas such as performance recognition, training and employee development, mentoring and more.
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Paid Time Off
Vacation, Sick Hours, Holidays, Family Leave
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Employee Resource Groups
16 ERGs at the core of our DEIB culture that support employee development and foster business relationships
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Professional Development
Leadership and Employee Development Courses, LinkedIn Learning, Mentoring Program and up to $8,000 for Tuition Reimbursement
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Healthcare
Low-Cost Medical, Dental, Life/Accident/Disability Insurance and Free Vision
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Healthcare & Dependent Care FSA
Pre-tax employee-funded accounts that cover certain out-of-pocket medical and dependent care expenses
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Retirement Plans
401(k) Matching up to 8% AND Cash Balance Pension (no cost to you)
Job Details
Requisition ID # 171818
Job Category: Information Technology
Job Level: Individual Contributor
Business Unit: Information Technology
Work Type: Hybrid
Job Location: Oakland
Department Overview
The Data Science & Artificial Intelligence Department is a dynamic hub of innovation, empowering specialized “Delivery” teams to pioneer advanced data science and machine learning solutions that drive impactful results across the organization.
The Department works cross-functionally across the company to enable data driven decisions applying advanced analytics, as well as improvements to relevant business processes. Deployed to some of PG&E’s highest priority arenas, the Department specializes in building analytics products at scale with AI/ML core.
Position Summary
PG&E is looking for an associate Data Scientist/Data Engineer to support our data science Proof of Concept projects as well as mature products and pipelines end-to-end. In this role, the successful candidates will be uniquely positioned at the forefront of the grid’s advanced analytics, having the opportunity to advance PG&E’s triple bottom line of People, Planet, and Prosperity.
As a Delivery team, you are positioned at the forefront of solution creation in high visible projects such as Computer Vison for the grid’s asset detection, Load demand prediction by Electric Vehicle across PGE territory, and Gen AI initiatives. Our team uses industry leading data science and change management practices to drive PG&E’s transition to the sustainable grid of the future.
PG&E is providing the hourly rate range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual hourly rate paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity.
The hourly rate for this position ranges from $39.42 to $59.61.
Responsibilities
- Extracts, transforms, and loads data from dissimilar sources across PG&E for their machine learning feature engineering.
- Apply standard data science techniques to assigned modeling tasks with direction from senior data scientists.
- Contribute to model development efforts by following established methods and instructions.
- Assist with writing and documenting codes for data science (feature engineering and machine learning modeling).
- Assist in the development of summary presentations.
- Communicates basic technical concepts and results within the data science team under supervision.
- Participates in peer review activities with guidance from senior team members.
Qualifications
Minimum Qualifications:
- Bachelor’s degree and/or master’s degree in data science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Statistics.
Desired:
- Experience with data engineering/ETL ecosystem, such as SAP data applications
- Experience with handling large datasets and cloud computing platforms (e.g. AWS, Azure, GCP, or other enterprise level analytics platforms.
- Experience with data engineering and data transformations via a training or apprenticeship program acceptable.
- Strong understanding of data engineering principles and practices.
- Basic investigative, assessment and evaluation skills.
- Experience working on computer systems, architectures, networks and data.
PG&E is unable to provide VISA sponsorship to students on an F-1, J-1 or other student visa for this position.
Jonathan A. Solutions Architect, ExpertPG&E combines an established company’s stability with the autonomy of a startup. I enjoy high levels of trust and openness among my coworkers in a dynamic environment where I’m included in important decision-making discussions. As our company evolves, I look forward to career growth opportunities ahead.
Products & Enterprise Platforms
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Patti Poppe Becomes the First PG&E CEO to Sign the Disability: IN CEO
In signing the CEO Letter on Disability Inclusion, Poppe commits to benchmark the company’s inclusion efforts and encourages other leaders to join IN.
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Life at PG&E
Dive into stories that showcase our workplace culture, celebrate notable achievements, and offer a glimpse into the day-to-day experiences of our rewarding careers.
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