Data Scientist
•Today
| Estimated Pay info | Based on similar jobs in your market$66 per hour |
|---|---|
| Hours | Full-time |
| Location | San Ramon, California |
About this job
Job Description
Job Description
Alternate / Related Job Titles:
• Senior Data Scientist
• Machine Learning Engineer
• Applied Data Scientist
• Advanced Analytics Scientist
Onsite Flexibility
Equipment:
Client-provided laptop and docking station (must be picked up at the local office)Company Description
Primary Job Title:
Data Scientist
Data Scientist
Alternate / Related Job Titles:
• Senior Data Scientist
• Machine Learning Engineer
• Applied Data Scientist
• Advanced Analytics Scientist
Location
San Ramon, CA (local candidates only)
Onsite Flexibility
Primarily Remote — 1–2 onsite days per month for collaboration; 5%–10% travel per month required
Contract Details
Position Type: Contract
Contract Duration: 12 months
Start: As Soon As Possible
Pay Rate: $90–95/hour
Contract Duration: 12 months
Start: As Soon As Possible
Pay Rate: $90–95/hour
Equipment:
Client-provided laptop and docking station (must be picked up at the local office)
Position Summary
The Data Scientist will support the Electric Operations Excellence Team by translating business needs into advanced analytics and machine learning solutions. This role focuses on strong execution and delivery of high-impact models, partnering closely with product owners, technical leads, and business stakeholders. The successful candidate will design, build, evaluate, and deploy models that drive actionable insights and operational excellence across electric operations.
Key Responsibilities
• Lead development of high-complexity machine learning models and training datasets
• Provide hands-on execution and deployment of data science and analytics solutions
• Translate business problems into well-defined data science use cases and select appropriate algorithms
• Communicate model performance, insights, and implications clearly to stakeholders and leadership
• Prioritize analytics work to maximize operational and business impact
• Balance tradeoffs between analytics value, model design, and technology choices
• Mentor junior data scientists and collaborate across cross-functional teams
• Develop process models, documentation, and artifacts supporting technical architecture
• Manage development of quantitative models, tools, and forecasting solutions
• Perform complex data analysis and present recommendations through dashboards, reports, and presentations
• Partner with leaders to support strategic decision-making and performance improvement
• Provide hands-on execution and deployment of data science and analytics solutions
• Translate business problems into well-defined data science use cases and select appropriate algorithms
• Communicate model performance, insights, and implications clearly to stakeholders and leadership
• Prioritize analytics work to maximize operational and business impact
• Balance tradeoffs between analytics value, model design, and technology choices
• Mentor junior data scientists and collaborate across cross-functional teams
• Develop process models, documentation, and artifacts supporting technical architecture
• Manage development of quantitative models, tools, and forecasting solutions
• Perform complex data analysis and present recommendations through dashboards, reports, and presentations
• Partner with leaders to support strategic decision-making and performance improvement
Required Skills
• Hands-on experience with machine learning and algorithms in real-world applications
• Strong foundation in mathematics and statistics (probability, linear algebra, calculus, statistical inference)
• Advanced programming skills in Python, R, and SQL
• Experience with model evaluation, optimization, and feature engineering
• Ability to communicate insights clearly to senior leadership using visualizations and presentations
• Experience building, training, and evaluating models end-to-end
• Strong collaboration and stakeholder engagement skills
• Strong foundation in mathematics and statistics (probability, linear algebra, calculus, statistical inference)
• Advanced programming skills in Python, R, and SQL
• Experience with model evaluation, optimization, and feature engineering
• Ability to communicate insights clearly to senior leadership using visualizations and presentations
• Experience building, training, and evaluating models end-to-end
• Strong collaboration and stakeholder engagement skills
Preferred / Additional Skills
• Experience with utility or energy industry data
• Foundry experience
• Experience with Pandas, Scikit-learn, Spark, or similar technologies
• Experience using data science notebooks (Jupyter, Zeppelin, etc.)
• Cloud experience (AWS, Azure)
• Scrum or Agile team experience
• Forecasting, Bayesian networks, and graph analytics
• Strong software engineering and workflow design experience
• Foundry experience
• Experience with Pandas, Scikit-learn, Spark, or similar technologies
• Experience using data science notebooks (Jupyter, Zeppelin, etc.)
• Cloud experience (AWS, Azure)
• Scrum or Agile team experience
• Forecasting, Bayesian networks, and graph analytics
• Strong software engineering and workflow design experience
Education & Experience
Education:
Bachelor’s degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics, or a related field (or equivalent experience)
Bachelor’s degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics, or a related field (or equivalent experience)
Experience (one of the following):
• 8+ years of job-related experience, or
• Master’s degree with 6+ years of experience, or
• Doctorate with 3+ years of experience
• 8+ years of job-related experience, or
• Master’s degree with 6+ years of experience, or
• Doctorate with 3+ years of experience
Additional Experience:
• 5+ years of experience in data modeling
• 5+ years of experience in data modeling
Benefits
• Medical, Vision, and Dental Insurance Plans
• 401(k) Retirement Fund
• 401(k) Retirement Fund
About the Company
Our client is a leading natural gas and electric energy company serving millions of customers across the United States. The organization is committed to reliable energy delivery, innovation, and creating a positive work environment where employees can make a meaningful impact in their communities.
About GTT
GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American–owned company based in Alaska. We value diverse and inclusive workplaces and partner with leading organizations across banking, financial services, technology, life sciences, utilities, and retail throughout the U.S. and Canada.
Job Number:
26-00001
GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American–owned company based in Alaska. We value diverse and inclusive workplaces and partner with leading organizations across banking, financial services, technology, life sciences, utilities, and retail throughout the U.S. and Canada.
Job Number:
26-00001
#LI-GTT #LI-Remote #gttjobs
Global Technical Talent is a subsidiary of Chenega Corporation (www.Chenega.com) with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure.
We are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier.
There is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: https://bit.ly/gttcareers
Awards
SIA’s Fastest Growing Staffing Firm: 2023 and 2015
SIA’s Best Staffing Firm to Work for: 2019 -2023
Inc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015
Randstad Preferred Supplier: 2020 - 2023
TechServe Alliance Excellence Award. 2019
NH Business Magazines Fast 5 fastest growing companies
Ernst & Young Entrepreneur of the Year Finalist: 2015
We are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier.
There is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: https://bit.ly/gttcareers
Awards
SIA’s Fastest Growing Staffing Firm: 2023 and 2015
SIA’s Best Staffing Firm to Work for: 2019 -2023
Inc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015
Randstad Preferred Supplier: 2020 - 2023
TechServe Alliance Excellence Award. 2019
NH Business Magazines Fast 5 fastest growing companies
Ernst & Young Entrepreneur of the Year Finalist: 2015
Company Description
Global Technical Talent is a subsidiary of Chenega Corporation (www.Chenega.com) with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure.\r\n\r\nWe are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier.\r\n \r\nThere is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: https://bit.ly/gttcareers \r\n \r\nAwards\r\n\r\nSIA’s Fastest Growing Staffing Firm: 2023 and 2015\r\nSIA’s Best Staffing Firm to Work for: 2019 -2023\r\nInc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015\r\nRandstad Preferred Supplier: 2020 - 2023\r\nTechServe Alliance Excellence Award. 2019\r\nNH Business Magazines Fast 5 fastest growing companies\r\nErnst & Young Entrepreneur of the Year Finalist: 2015
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Full-time Jobs Part-time Jobs Gig Jobs Posting ID: 1206479183 Posted: 2026-01-30 Job Title: Data Scientist
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