Hourly R Statistics Jobs in California (NOW HIRING)

Job Description:

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($): 75.00
Max Hourly Rate($): 80.00
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**
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.**