Title: Data Scientist, Senior Location: Oakland United States Job Description: Requisition ID # 171817 Job Category: Accounting / Finance Job Level: Individual Contributor Business Unit: Information Technology Work Type: Hybrid Job Location: Oakland Department Overview The Data Science & Artificial Intelligence Department consists of a "Delivery" team that develop data science and machine learning solutions. As a Delivery team, this Department uses industry leading data science and change management practices to drive PG&E's transition to the sustainable grid of the future. The Department works cross-functionally across the company to enable data driven decisions applying analytics, as well as improvements to relevant business processes. Deployed to some of PG&E's highest priority arenas, the Department does not specialize in a traditional utility domain, such as asset management or program administration, but instead specializes in extracting useful insights from disparate datasets and facilitating actions informed by these insights. Position Summary 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. Bay Area Min: $ 126,000 Bay Area Max: $ 200,000 This position is hybrid, working from your remote office and the Oakland General Office (OGO) based on business needs. What You'll Do - 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. Qualifications Minimum: - 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 Desired: - 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.)

Role Description Numerator is seeking a Data Scientist to join our growing Data team, working on an established platform that processes massive amounts of proprietary data. This high-impact role centers on supporting and improving our calibration system — a core component that ensures our data outputs are accurate, consistent, and representative of real-world behavior. You'll contribute to data science systems across multiple SaaS products with end-to-end influence, emphasizing applied problem solving, data investigation, and system improvement. If you thrive in a fast-paced environment and want to shape how an entire industry understands consumer behavior, this is the role for you. - Contribute to the development and improvement of data science systems, with a focus on calibration methodologies and workflows - Investigate and analyze data to identify patterns, inconsistencies, and opportunities for improvement - Build and enhance metrics, reporting, and monitoring to better understand system performance - Collaborate across Product, Data, and Engineering teams to deliver data-driven solutions - Support integration and validation of new data sources and system changes - Execute on projects involving data analysis and statistical methods - Communicate results, findings, and recommendations to stakeholders Qualifications - BS or advanced degree in Mathematics, Statistics, Computer Science, Economics, or another quantitative field - 2–5 years of industry experience in a data science or analytics role - Proficiency in SQL and experience working with Python - Strong analytical and problem-solving skills - Experience working with large and complex datasets - Ability to communicate complex concepts to non-technical audiences Benefits - An inclusive and collaborative company culture - Market competitive total compensation package - Volunteer time off and charitable donation matching - Strong support for career growth, including mentorship programs, leadership training, access to conferences and employee resource groups - Great benefits package including health/vision/dental, Personal Spending Account, unlimited PTO, flexible schedule, 401K matching, travel reimbursement and more Company Description

• Define and own the enterprise data science vision, roadmap, and operating model aligned with company strategy • Translate business priorities into high-impact analytics, AI, and machine learning initiatives • Serve as an executive advisor on data-driven decision-making, AI adoption, and emerging technologies • Build, mentor, and scale a diverse, high-performing organization of data scientists and ML engineers • Oversee the design, development, deployment, and lifecycle management of predictive and prescriptive models • Maintain a hands-on approach to data science and AI, including the ability to write, review, and guide code • Work closely with Data Engineering to ensure data quality, availability, and scalability

Role Description The Senior Data Scientist is a principal‑level individual contributor responsible for architecting, delivering, and governing enterprise‑grade advanced analytics and machine learning solutions that materially influence strategic decisions, financial performance, operational efficiency, and regulatory posture. This role operates at the intersection of data science, data engineering, cloud analytics platforms, and business strategy, serving as a technical authority and thought leader across complex, high‑risk analytical initiatives—particularly within regulated healthcare environments. The Senior Data Scientist is accountable not only for model development, but for explainability, stability, auditability, and long‑term operational viability of analytical solutions deployed at scale within the Microsoft data ecosystem. Where you will have an impact - Architect, design, and deploy advanced statistical, predictive, and machine learning solutions that support enterprise‑level decision‑making across healthcare, operations, finance, and customer/member domains. - Own end‑to‑end analytical solution lifecycle, including data discovery, feature engineering, modeling, validation, performance monitoring, retraining strategy, and retirement planning. - Serve as a technical authority on model explainability, fairness, robustness, and regulatory defensibility—particularly where ground truth or forward‑looking forecasts are limited. - Design analytics solutions natively within the Microsoft cloud analytics stack, ensuring alignment to enterprise data architecture and governance standards. - Partner closely with executive stakeholders, data engineering leaders, and platform owners to translate complex business questions into high‑impact, production‑ready analytics. - Lead and influence analytics standards without direct authority. - Define best practices for: model documentation, audit artifacts, model risk management, stability analysis, reproducibility, and controlled experimentation. - Guide and review work produced by other data scientists, analysts, and vendors to ensure technical rigor and business relevance. - Present complex analytical findings to senior leadership using clear narratives, decision‑oriented visuals, and quantified trade‑offs. - Proactively identify analytical risks, data limitations, and downstream impacts of modeling decisions. - Continuously evaluate emerging tools, methodologies, and Microsoft platform capabilities to drive modernization and performance gains. Qualifications - Master's degree in data science, statistics, mathematics, computer science, engineering, or related field required. - 7–10+ years of progressive experience delivering advanced analytics or machine learning solutions in complex, data-rich environments. - Prior experience in healthcare analytics (payer, provider, life sciences, or regulated healthcare data domains) required. - Prior acutrary experience a plus. - Proven experience deploying production analytics or ML solutions supporting mission‑critical business processes. - Python (pandas, NumPy, scikit‑learn, PyTorch/TensorFlow where appropriate). - SQL (advanced T‑SQL optimization, analytical patterns). - ML explainability and governance techniques (e.g., SHAP‑style approaches, stability testing). - Deep, hands-on, production experience across sizable portion of the Microsoft analytics ecosystem, including: - Microsoft Fabric (Lakehouse, Data Warehouse, Real-Time Analytics, Notebooks). - Azure Synapse Analytics (dedicated & serverless SQL pools). - Azure Data Factory (Fabric Data Pipelines). - Azure Data Lake Storage. - Azure Machine Learning (model training, deployment, monitoring). - Power BI (semantic models, DAX optimization, executive dashboards). - Microsoft Purview (data cataloging, lineage, classification). Requirements - All Associates must comply with the Health Insurance Portability Accountability Act of 1996 (HIPAA) as it pertains to disclosures of protected health information (PHI) as described in the Notice of Privacy Practices and HIPAA Privacy Policies and Procedures. - Associates may have access to covered information, cardholder data or other confidential customer information which must be protected at all times. - Associates must explicitly adhere to all data security guidelines established within the Company’s Privacy & Security Training Program. Benefits - Comprehensive and competitive total rewards package designed to support your health, financial well‑being, and work‑life balance. - Benefits include medical, dental, and paid vision coverage; paid time off and company holidays; retirement savings with employer contribution; employee wellness resources; and professional development opportunities. - Additional benefits may include flexible work arrangements, employee assistance programs, and other programs that support you both at work and beyond. Compensation This role is compensated through a fixed annual salary. The expected salary range for this position is $170,000.00 – $180,000.00 annually, based on role scope, experience, and market considerations. This position is not eligible for bonus or incentive compensation. Equal Employment Opportunity Versant Health is a proud Equal Employment Opportunity and Affirmative Action employer dedicated to attracting, retaining, and developing a diverse and inclusive workforce. All qualified applicants will receive consideration for employment at Versant Health without regards to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.