Data Scientist-Local to San Ramon, CA

San Ramon, CA (Hybrid with 1-2 times onsite in month)
12 months contract - W2
* LOCAL CANDIDATES ONLY*
Hybrid - The role is mostly remote with some instances to collaborate in person. Roughly 1 or 2 times monthly in office. 5% - 10 % travel per month
* EQUIPMENT:
* Client Laptop and docking station will be furnished and will need to be picked up at local office by the successful hire.
TOP THINGS:
Machine Learning & Algorithms

• Hands-on experience building and deploying ML models for real world applications.
• Understanding of model evaluation, optimization, and feature engineering

• Solid foundation in probability, linear algebra, calculus, and statistical inference.
• Strong command of languages like Python, R, and SQL for data manipulation and model development.

• Provide insights in clear and concise manner for upper management review through various mediums such as graphics, power point presentations, dashboards, etc

• Understanding of Utility data, has industry context, project management methodologies, Foundry experience.

• 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.

• 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 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
• 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.

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 trade-offs 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,…