USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers.Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services.Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps.USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness.Job Description Position: Data ScientistLocation: San Ramon, CAStart Date: ImmediateDuration: 3-6 monthsMUST BE LOCAL FACE TO FACE REQUIREDDescription:We are looking for Data Scientist with experience in Full stack Development/Automation Engineering and AWS Architecture.Thanks & RegardsUSM Systems Inc.703-880-4184Additional Information If my requirement matches your resume, then please do reply on my email idgmahesh@usmsystems(dot)com or can directly call me on 703-880-4184.#J-18808-Ljbffr

Who We Are. Robert Half, one of FORTUNEs Worlds Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Scientist II to join the Data Science department. About the Role:Ready to revolutionize the future of data-dr Data Scientist, Data Science, Scientist, Data Engineer, Data Services, Business, Technology, Staffing

Sr. Data Scientist for the App Orchid platform solutions.Salary: USD 188,885 to 190,000Location: San Ramon, CA, USAEngagement: Full-timeJob Duties: Meeting with customers, understanding and gathering business requirements for data-based decision systems.Translating business problems to data science problems, conducting feasibility studies, and resolving infrastructural bottlenecks.Designing state-of-the-art algorithms, machine learning models, and artificial intelligence systems.Developing proof of concept prototype algorithms for feasibility studies.Designing and building mathematical and statistical models for improved data-driven business decisions.Designing, training, evaluating, and deploying neural network-based models.Performing optimization of existing algorithms and models.Using natural language processing to interpret and solve plain text questions for customer-specific use cases.Building stochastic/probabilistic models for customer use cases.Building computer vision capabilities and algorithms to process images/unstructured documents using computer vision methodologies.Evaluating different frameworks and technologies for performance, usability, and integration with products.Involving quality checks of client deliverables.Conducting training on new technologies/modelling techniques/state-of-art neural networks.Job Requirements: Required Bachelors or foreign equivalent in Computer Science, Information Technology, CIS, MIS, Engineering (Any), or related field + 5 years of experience in the job offered, Architect, Module Lead, Business Analyst, Software Engineer, or related roles. Travel may be required to various unanticipated client sites throughout the US.Location of Work: Suite #570, Building Y, San Ramon, CA, 94583To apply, please send resumes to HR, App Orchid, Inc., 6111 Bollinger Canyon Road, Suite #570, Building Y, San Ramon, CA, 94583 or Email: career@apporchid.com.#J-18808-Ljbffr

This position provides principal-level Data Scientist support for the Gas Storage Asset Management team. This role requires the application of data science and analytics to support management of the gas storage well and reservoir assets. This position will also assist with the department strategic objectives of positioning asset data for the future. Position will require approximately 25% of travel time in work schedule. This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory (San Ramon, CA). PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors. A reasonable salary range is: Bay Area Minimum: $159,000 Bay Area Maximum: $271,000 This job is also eligible to participate in PG&E’s discretionary incentive compensation programs. <h3>Job Responsibilities </h3><ul><li>Creates, applies, and evaluates advanced data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets. </li><li>Applies and evaluates data science/machine learning/artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development. </li><li>Writes and documents complex and reusable Python functions as well as multi-modular Python code for data science. </li><li>As a technical leader, provides thought leadership in the use of ML algorithms for solving business problems. </li><li>Mentors junior data scientists and drives standardization in process and toolsets across the data science community at PG&E. </li><li>Collaborates with analytics platform owners to prioritize and drive development of scalable data science capabilities. </li><li>Acts as peer reviewer for complex models/AI algorithm proposals. </li><li>Recognizes and prioritizes the most important work related to data science models to achieve highest operational and strategic impact for analytics in the business. </li><li>Works with enterprise leaders as an advocate for digital transformation of the business through the adoption of data science, analytics, and data-driven business processes. </li><li>Presents findings and makes recommendations to executive leadership and cross-functional management. </li> </ul><h3>Qualifications </h3><h3>Minimum Qualifications: </h3><ul><li>Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics, or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field. </li><li>8 years in data science (or 2 years, if possess Doctoral Degree or higher). </li> </ul><h3>Desired Qualifications: </h3><ul><li>Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience. </li><li>Experience with oil and gas data management and modeling. </li><li>Proficiency managing well data with oil and gas software. </li><li>Experience with underground natural gas storage. </li><li>Experience responding to CalGEM and/or CPUC data requests. </li><li>Experience with GIS data. </li> </ul><h3>Knowledge, Skills, Abilities and (Technical) Competencies </h3><ul><li>Thought leadership in the external data science/artificial intelligence/machine learning community of practice, as demonstrated through peer-reviewed journal publications, intellectual property/patent achievements, conference presentations, volunteering in professional organizations for the advancement of the field, participation in externally sponsored research projects, open source contributions, or similar activities. </li><li>Proficiency with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them. </li><li>Proficiency with commonly used data science and/or operations research programming languages, packages, and software tools for building data science/machine learning models and algorithms. </li><li>Mastery in explaining in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines. </li><li>Ability to clearly communicate complex technical details and insights to colleagues, stakeholders, and leadership. </li><li>Leadership in developing, coaching, teaching and mentoring others to meet both their career goals and the organization goals. </li> </ul>#J-18808-Ljbffr

This position provides principal-level Data Scientist support for the Gas Storage Asset Management team. This role requires the application of data science and analytics to support management of the gas storage well and reservoir assets. This position will also assist with the department strategic objectives of positioning asset data for the future.
Position will require approximately 25% of travel time in work schedule.
This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory (San Ramon, CA).
PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.
A reasonable salary range is:
Bay Area Minimum: $159,000
Bay Area Maximum: $271,000
This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.
Job Responsibilities Creates, applies, and evaluates advanced data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets.
Applies and evaluates data science/machine learning/artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development.
Writes and documents complex and reusable Python functions as well as multi-modular Python code for data science.
As a technical leader, provides thought leadership in the use of ML algorithms for solving business problems.
Mentors junior data scientists and drives standardization in process and toolsets across the data science community at PG&E.
Collaborates with analytics platform owners to prioritize and drive development of scalable data science capabilities.
Acts as peer reviewer for complex models/AI algorithm proposals.
Recognizes and prioritizes the most important work related to data science models to achieve highest operational and strategic impact for analytics in the business.
Works with enterprise leaders as an advocate for digital transformation of the business through the adoption of data science, analytics, and data-driven business processes.
Presents findings and makes recommendations to executive leadership and cross-functional management.
Qualifications Minimum Qualifications: Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics, or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
8 years in data science (or 2 years, if possess Doctoral Degree or higher).
Desired Qualifications: Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience.
Experience with oil and gas data management and modeling.
Proficiency managing well data with oil and gas software.
Experience with underground natural gas storage.
Experience responding to CalGEM and/or CPUC data requests.
Experience with GIS data.
Knowledge, Skills, Abilities and (Technical) Competencies Thought leadership in the external data science/artificial intelligence/machine learning community of practice, as demonstrated through peer-reviewed journal publications, intellectual property/patent achievements, conference presentations, volunteering in professional organizations for the advancement of the field, participation in externally sponsored research projects, open source contributions, or similar activities.
Proficiency with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them.
Proficiency with commonly used data science and/or operations research programming languages, packages, and software tools for building data science/machine learning models and algorithms.
Mastery in explaining in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.
Ability to clearly communicate complex technical details and insights to colleagues, stakeholders, and leadership.
Leadership in developing, coaching, teaching and mentoring others to meet both their career goals and the organization goals.

#J-18808-Ljbffr

USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers.
Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services.
Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps.
USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area – Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness.
Job Description Position: Data Scientist
Location: San Ramon, CA
Start Date: Immediate
Duration: 3-6 months
MUST BE LOCAL FACE TO FACE REQUIRED
Description:
We are looking for Data Scientist with experience in Full stack Development/Automation Engineering and AWS Architecture.
Thanks & Regards
USM Systems Inc.
703-880-4184
Additional Information If my requirement matches your resume, then please do reply on my email id
gmahesh@usmsystems(dot)com or can directly call me on 703-880-4184.

#J-18808-Ljbffr

USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers. Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services. Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps. USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area – Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness. <h3>Job Description </h3>Position: Data Scientist Location: San Ramon, CA Start Date: Immediate Duration: 3-6 months MUST BE LOCAL FACE TO FACE REQUIRED Description: We are looking for Data Scientist with experience in Full stack Development/Automation Engineering and AWS Architecture. Thanks & Regards USM Systems Inc. 703-880-4184 <h3>Additional Information </h3>If my requirement matches your resume, then please do reply on my email id (dot)com or can directly call me on 703-880-4184. #J-18808-Ljbffr

This position provides principal-level Data Scientist support for the Gas Storage Asset Management team. This role requires the application of data science and analytics to support management of the gas storage well and reservoir assets. This position will also assist with the department strategic objectives of positioning asset data for the future.Position will require approximately 25% of travel time in work schedule.This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory (San Ramon, CA).PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.A reasonable salary range is:Bay Area Minimum: $159,000Bay Area Maximum: $271,000This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.<h3>Job Responsibilities</h3><ul><li>Creates, applies, and evaluates advanced data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets.</li><li>Applies and evaluates data science/machine learning/artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development.</li><li>Writes and documents complex and reusable Python functions as well as multi-modular Python code for data science.</li><li>As a technical leader, provides thought leadership in the use of ML algorithms for solving business problems.</li><li>Mentors junior data scientists and drives standardization in process and toolsets across the data science community at PG&E.</li><li>Collaborates with analytics platform owners to prioritize and drive development of scalable data science capabilities.</li><li>Acts as peer reviewer for complex models/AI algorithm proposals.</li><li>Recognizes and prioritizes the most important work related to data science models to achieve highest operational and strategic impact for analytics in the business.</li><li>Works with enterprise leaders as an advocate for digital transformation of the business through the adoption of data science, analytics, and data-driven business processes.</li><li>Presents findings and makes recommendations to executive leadership and cross-functional management.</li></ul><h3>Qualifications</h3><h3>Minimum Qualifications:</h3><ul><li>Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics, or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.</li><li>8 years in data science (or 2 years, if possess Doctoral Degree or higher).</li></ul><h3>Desired Qualifications:</h3><ul><li>Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience.</li><li>Experience with oil and gas data management and modeling.</li><li>Proficiency managing well data with oil and gas software.</li><li>Experience with underground natural gas storage.</li><li>Experience responding to CalGEM and/or CPUC data requests.</li><li>Experience with GIS data.</li></ul><h3>Knowledge, Skills, Abilities and (Technical) Competencies</h3><ul><li>Thought leadership in the external data science/artificial intelligence/machine learning community of practice, as demonstrated through peer-reviewed journal publications, intellectual property/patent achievements, conference presentations, volunteering in professional organizations for the advancement of the field, participation in externally sponsored research projects, open source contributions, or similar activities.</li><li>Proficiency with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them.</li><li>Proficiency with commonly used data science and/or operations research programming languages, packages, and software tools for building data science/machine learning models and algorithms.</li><li>Mastery in explaining in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.</li><li>Ability to clearly communicate complex technical details and insights to colleagues, stakeholders, and leadership.</li><li>Leadership in developing, coaching, teaching and mentoring others to meet both their career goals and the organization goals.</li></ul>
#J-18808-Ljbffr

Company Overview:Worldwide Technology is looking for Senior Data Scientist. This job is part of WWT’s Strategic Resourcing services. The candidate will be supporting a WWT customer and will be employed by one of WWT’s preferred partners. Worldwide Technology (WWT) is a global technology integrator and supply chain solutions provider. Through our culture of innovation we inspire, build and deliver business results, from idea to outcome.Based in St. Louis, WWT works closely with industry leaders such as Cisco, HPE, Dell EMC, NetApp, VMware, Intel, AWS, Microsoft, and F5, focusing on three market segments: Fortune 500 companies, service providers and the public sector. WWT employs more than 5,400 people and operates in more than 2+ million square feet of state-of-the-art warehousing, distribution and integration space strategically located throughout the world. WWT is proud to announce that it has been named on the FORTUNE "100 Best Places to Work For®" list for the eighth consecutive year and was awarded for multiple categories on Glassdoor’s 2019 Employees' Choice Awards, honoring the Best Places to Work. Title: Front End Data Scientist, SeniorLocation: Hybrid in San Ramon, CADuration: 11 Months. Department Overview Client's Meteorology Operations and Analytics team is one of the most impactful at the company, providing support across all aspects of Client's utility operations through advanced modeling and monitoring capabilities. Our modelling program includes high resolution weather forecasting, utility fire risk forecasting, outage and storm forecasting, solar forecasting, electric and gas load forecasting, and hydro forecasting. The team has deployed a utility-mesonet with more than 600 weather stations, deployed over 130 high-resolution “Alert Wildfire” cameras and developed a fire detection and alert system using geosynchronous and polar-orbiting satellites. The team constructed an hourly 30-year high-resolution down-scaled climatology of weather and fuel models, operates a high-resolution weather-fuels coupled forecast model, and leverages fire spread and consequence simulations of >70 million fires igniting near overhead utility infrastructure daily. Position Summary Designs, develops, and executes scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating actionable insights for strategy and policy development, process improvement, and product enhancement. Works on technical development phases: data engineering, analytics/modeling, and visualization/user interface. Works with teams, clients, and senior leadership throughout the development cycle practicing continuous improvement. Job Responsibilities Shares and collaborates with other CLIENT'S data science professionals.Works closely with domain experts to develop relevant domain knowledge in the electric and gas utility, as well as knowledge of related datasets.Gathers, cleans, transforms, and/or reduces data from dissimilar sources from across CLIENT'S .Applies back end developing techniques to produce various products for use by the Meteorology Department as well as the wider company.Documents data sources, methodology, and model evaluation metrics.Fluent in various development technologies such as git, python, and AWS infrastructure, etc.Can work independently while also collaborating with an team of developers. QualificationsMinimum: Bachelors Degree in in Computer Science, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experienceDesired: Graduate Degree in job-related discipline or equivalent experienceUtility industry experience, 1 year

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Data Scientist Jobs in San Ramon, CA

Data ScientistDecember 19, 2024

Data Scientist IiDecember 19, 2024

Sr Data ScientistDecember 19, 2024

Principal Data ScientistDecember 14, 2024

Principal Data ScientistDecember 13, 2024

Data ScientistDecember 10, 2024

Data ScientistDecember 9, 2024

Principal Data ScientistDecember 9, 2024

Data ScientistNovember 24, 2024