Senior Data Scientist

Date Posted: 06/22/2026

Hiring Organization: Rose International

Position Number: 503144

Industry: Utility

Job Title: Senior Data Scientist

Job Location: San Ramon, CA, USA, 94583

Work Model: Hybrid

Work Model Details: Onsite 1 day/week

Shift: TBD

Employment Type: Temporary

FT/PT: Full-Time

Estimated Duration (In months): 13

Min Hourly Rate($): 90.00

Max Hourly Rate($): 100.00

Must Have Skills/Attributes: Data Scientist, Python, R, Scala, SQL

Experience Desired: Hands-on experience building and deploying ML models for real world applications (8 yrs); Strong command of languages like Python, R, and SQL for data manipulation and model development (8 yrs)

Required Minimum Education: Bachelor's Degree

Preferred Education: Ph.D / Doctorate

**C2C is not available**

Job Description
Required Education:
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 Degree and job-related experience, 6 years, OR Doctorate Degree and job-related experience, 3 years. Experience in data modeling, 5yrs

Preferred Education:
PhD in engineering or a related field (computer science, natural sciences, mathematics)

Required Experience, Knowledge & Skills:

Machine Learning & Algorithms
Hands-on experience building and deploying ML models for real world applications
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, power point presentations, dashboards, etc
Domain Knowledge (Additional Desired Skills)
Understanding of Utility data, has industry context, project management methodologies, Foundry experience

Preferred Experience, Knowledge & Skills:
Experience with Python, R, Scala, SQL
Experience developing solutions with Pandas/Scikit-learn, Spark or comparable technologies
Experience 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

Position Summary:

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

Job Responsibilities:
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

• **Only those lawfully authorized to work in the designated country associated with the position will be considered.**

• **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**

Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.

California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.

Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.

If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.

Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).