Data Scientist

Location: San Ramon, CA

Onsite Flexibility: Hybrid — 20% on-site; once a week reporting at Dublin Innovation or Bay Area office locations

• Position Type: Contract
• Contract Duration: 12 months
• Pay Rate: $95.00–$100.00 / Hour (USD)
• Equipment: Due to current lead times and backlog, the contractor will need to furnish equipment for Citrix access. Laptop will be provided approximately 4–8 weeks from start date. PPE will be on an as-needed basis and will be reimbursed through the expense process with prior manager approval.
• Mileage Reimbursement: With prior manager approval, contractor may expense mileage reimbursement when traveling to any location that is not their Primary Business Location and if travel is more than 50 miles (one way) from their home to that location. If any overnight stay is required, costs will be reimbursed.
• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

We are seeking an experienced Data Scientist who will provide strong execution and delivery of data science. Working as a part of the Electric Operations Excellence Team, this Data Scientist will translate business needs into advanced analytics and machine learning models. The successful candidate will be responsible for model selection and identification of appropriate training data sets; building, training, and evaluating models; and delivering results to the business on a regular cadence. This role will work alongside a product owner, technical lead, and with internal stakeholders, process owners to support delivery of high-value analytics machine learning models to derive key insights for execution of the work within Electric Operations.

• Leads development of high complexity models and training sets
• Provides hands-on execution and implementation of data science models
• Translates business analysis needs into well-defined data science problems, and selecting appropriate models and algorithms and communicates model evaluation and implications of results back to stakeholders
• Recognizes and prioritizes the most important work related to data science models to achieve highest operational impact for analytics in the business
• Balances tradeoffs among analytics value, model development methods and design and technologies used to implement data science models with a bias toward action
• Performs collaborative work on data science problems and mentor junior data scientists
• Creates shared process models, business objects, activity diagrams and process documentation to effectively articulate multiple views of the business solutions that support technical architecture
• Manages development of quantitative models and tools
• Collaborates with leaders, other LOBs, and business partners to work on issues, projects or activities
• Develops new or revises complex models to predict business demand trends, and volume and expenditures forecasts capacity analysis, and various other metrics to identify potential opportunities
• Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis
• Partners with leaders to drive high performance in their lines of business
• Develop deep understanding of business drivers and financial levers to provide strategic decision support
• Oversees resolution of complex projects and programs
• Develops and maintains up-to-date detailed project schedules and work plans
• Performs analysis on complex data models requiring customized reports and data and presents recommendations

• Machine Learning & Algorithms: Hands-on experience building and deploying ML models for real-world applications
• Machine Learning & Algorithms: Understanding of model evaluation, optimization, and feature engineering
• Mathematics & Statistics: Solid foundation in probability, linear algebra, calculus, and statistical inference
• Programming Proficiency: Strong command of languages like Python, R, and SQL for data manipulation and model development
• Presentation Skills: Provide insights in clear and concise manner for upper management review through various mediums such as graphics, PowerPoint presentations, dashboards, etc.

• Understanding of Utility data, has industry context, project management methodologies, Foundry experience
• PhD in engineering or a related field (computer science, natural sciences, mathematics)
• Experience with Python, R, Scala, SQL
• Experience developing solutions with Pandas/Scikit-learn, Spark or comparable technologies
• Experience with data science notebooks (Jupyter, Zeppelin or other)
• Experience with AWS, Azure, cloud computing technologies
• Scrum team experience
• Energy industry experience
• Experience designing efficient data science workflows and database architecture for data science purposes
• Experience with forecasting, Bayesian networks, and graph analytics
• Strong statistics experience
• Experience with software development methodologies and software engineering principles
• Knowledge of program management theories, concepts, methods, best practices, and techniques as needed to perform at the job level
• Knowledge of relevant programming languages — for example Visual Basic, Ladder Logic, Programmable Logic Controller, C, SharePoint, HTML, Java, Adobe — as needed to perform at the job level
• Competency in knowing the most effective and efficient processes to get things done, with a focus on continuous improvement
• Knowledge of principles, techniques, and procedures used for production and design of technology-based equipment and systems as needed to perform at the job level
• Knowledge of statistical theories, concepts, methods, best practices, and analyses as needed to perform at the job level
• Ability to develop reports, models, and simulations as needed to perform at the job level
• Competency in developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
• Knowledge of data model design philosophies and methodologies for data warehouse and OLTP systems

• Bachelor's Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
• Job-related experience, 8 years, OR Master's Degree and job-related experience, 6 years, OR Doctorate Degree and job-related experience, 3 years

• Experience in data modeling, 5 years

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

• LOCAL CANDIDATES ONLY — candidates will need to be able to travel to local Bay Area office locations.
• Interview Readiness: Please only submit candidates that are available for interviews in-person within 2 weeks from when the application is submitted. All interviews will be in-person — no exceptions.

This organization is one of the largest regulated investor-owned utility companies in the United States, providing natural gas and electricity transmission, distribution, and delivery services across a vast service territory. It operates an extensive infrastructure network — pipelines, substations, transmission lines, and smart grid technology — and serves millions of residential and business customers. The company is engaged in significant modernization efforts, including grid hardening, wildfire safety, and the integration of renewable energy sources.

Safety is a foundational corporate value, embedded into daily operations for field crews, engineers, and operational staff. The organization has made public commitments to improving its safety culture and has invested heavily in training, equipment, and process improvements across its workforce. Employees in field operations, engineering, and skilled trades work in a highly structured environment where safety protocols are paramount.

For job seekers, this organization is well-regarded for its compensation and benefits package — one of the most consistently cited positives in employee reviews. Pay is considered excellent, particularly for union-represented roles, and the benefits package includes strong health coverage, pension or retirement options, and overtime opportunities. The company also offers meaningful work tied to a clear infrastructure mission, and many employees describe a strong sense of team camaraderie, particularly in field operations.

On the other hand, the culture is described as highly hierarchical and bureaucratic by some, with limited opportunities for mid-career growth and a management structure that can feel top-down. An ideal fit for individuals who value stability, strong compensation, and meaningful infrastructure work over fast-paced or entrepreneurial environments.

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-07771 Industry: Data & Analytics