Data Scientist

  • San Ramon, CA
  • Posted 10 days ago | Updated 10 days ago

Overview

On Site
$80 - $85
Contract - W2
Contract - 12 Month(s)

Skills

Machine Learning
Algorithms
deploying ML
Python
R
R Python

Job Details

Job Title: (Agile1) Data Scientist
Location: San Ramon, CA
Duration: January 16, 2026 January 16 ,2027

NOTE: THIS IS W2 Contract ONLY NO THIRD PARTY

*LOCAL CANDIDATES ONLY* 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

Key Skills:

- Machine Learning & Algorithms
o Hands-on experience building and deploying ML models for real world applications.
o Understanding of model evaluation, optimization, and feature engineering
- Mathematics & Statistics
o Solid foundation in probability, linear algebra, calculus, and statistical inference.
- Programming Proficiency
o Strong command of languages like Python, R, and SQL for data manipulation and model development.
- Presentation Skills
o 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)
o Understanding of Utility data, has industry context, project management methodologies, Foundry experience.

Desired Education / Skills:

  • 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 datascience 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
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