Data Scientist, Expert

Requisition ID # 174440  Job Category: Accounting / Finance  Job Level: Individual Contributor Business Unit: Energy Delivery Work Type: Hybrid Job Location: Oakland     Department Overview The Wildfire, Emergency and Operations (WEO) organization is responsible for oversight of PG&E’s wildfire operations and associated mitigations. The organization is responsible for the development and maintenance of consistent processes and work standards associated with sustainable wildfire and emergency response preparedness operations in line with our regulatory policies and practices. Operational Safety, Enterprise Corrective Action Program, Safety Programs, Contractor Safety, and Transportation Safety & Compliance is also embedded within Wildfire, Emergency and Operations.   WEO partners with leaders in Energy Delivery and other parts of the business to develop and recommend a strategic direction for emergency preparedness, emergency response and public partnerships. Wildfire, Emergency and Operations is comprised of roughly 1,792 coworkers.   Position Summary Designs, develops, and executes scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating for  defensible, valid, scalable, reproducible and documented machine learning and artificial intelligence models (predictive or optimization) for problem solving and strategy development. Participates in internal and external communities of practice in data science/artificial intelligence/machine learning to advance knowledge in the field. Educates the non-technical community on advantages, risks, and maturity levels of data science solutions.    This position is hybrid, working from your remote office and your assigned location based on business need.   PG&E is providing the salary 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 salary 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.  Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.   Bay Minimum: $140,000 Bay Maximum: $238,000   This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.    Job Responsibilities

Researches and applies advanced knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions. Creates advanced data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets Extracts, transforms, and loads data from dissimilar sources from across PG&E for their machine learning feature engineering Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development.  Wrangles and prepares data as input of machine learning model development and feature engineering  Writes and documents reusable python functions and modular python code for data science. Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis. Works with sponsor departments and company subject matter experts to understand application and potential of data science solutions that create value. Presents findings and makes recommendations to senior management. Act as peer reviewer of complex