Job Description

Senior Data Scientist Oakland, CA 94612 (HYBRID. 2 days onsite per week) 6 Months *LOCAL CANDIDATES ONLY*

W2 Only

Top things:

• Ability to build models around data using python or R
• Ability to get up to speed quickly
• Ability to access data systems to extract data including SAP
• Ability to review data and come up to their own conclusions

Position Overview : We are seeking a talented and driven Data Scientist to join our team. The ideal candidate will be responsible for building predictive models to analyze work and resource planning, forecasting task durations, and identifying opportunities to improve efficiency and safety in substation operations. This role will involve analyzing a variety of data sources, including scheduling, productivity, and weather event data, to develop robust forecasting models and predictive analytics.
Key Responsibilities:

• Predictive Modeling: Develop and implement machine learning models to predict task durations, resource needs, and potential human errors in substation work.
• Data Analysis: Analyze historical work data, scheduling information, crew productivity, weather impacts, and other relevant factors to identify patterns and insights.
• Forecasting: Build advanced forecasting models to improve planning accuracy for substation work, considering dynamic variables such as weather events and crew efficiency.
• Anomaly Detection: Create algorithms to detect anomalies and predict human errors, providing actionable insights to improve safety and performance.
• Opportunity Identification: Use data-driven approaches to highlight opportunities for process improvement and efficiency gains.
• Cross-functional Collaboration: Work closely with operations, engineering, and planning teams to integrate analytical insights into decision-making processes.
• Reporting & Visualization: Develop clear and effective data visualizations and reports to communicate findings to stakeholders.
• Continuous Improvement: Stay up-to-date with the latest trends and advancements in data science, machine learning, and predictive analytics to ensure our methodologies remain cutting-edge.

Required Qualifications:

• Education: Master s or PhD in Data Science, Systems Engineering, Computer Science, Statistics, or a related field.
• Experience: Minimum 3-5 years of experience in data science, with a focus on predictive analytics, machine learning, and operations analysis.

Technical Skills:

• Proficient in Python, R, SQL, and data analytics tools.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong knowledge of predictive modeling, statistical analysis, and time series forecasting.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib).
• Domain Knowledge: Experience in the energy sector, utilities, or substation operations is a plus.
• Analytical Thinking: Ability to translate complex data into actionable insights.
• Communication Skills: Strong ability to communicate complex analytical results to both technical and non-technical audiences.

Preferred Qualifications:

• Experience with predictive maintenance and asset management in industrial settings.
• Familiarity with scheduling and resource planning tools.
• Knowledge of weather forecasting integration into operational models.

About Us: Established in 2004, SPECTRA FORCE is one of the largest and fastest-growing diversity-owned staffing firms in the US. The growth of our company is a direct result of our global client service delivery model that is powered by our state-of-the-art A.I. proprietary talent acquisition platform, robust ISO 9001:2015/ISO 27001 certified processes, and strong and passionate client engaged teams. We have built our business by providing talent and project-based solutions, including Contingent, Permanent, and Statement of Work (SOW) services to over 140 clients in the US, Canada, Puerto Rico, Costa Rica, and India. Key industries that we service include Technology, Financial Services, Life Sciences, Healthcare, Telecom, Retail, Utilities and Transportation. SPECTRA FORCE is built on a concept of human connection, defined by our branding attitude of NEWJOBPHORIA , which is the excitement of bringing joy and freedom to the work lifestyle so our people and clients can reach their highest potential. Learn more at:

Benefits: SPECTRA FORCE offers ACA compliant health benefits as well as dental, vision, accident, critical illness, voluntary life, and hospital indemnity insurances to eligible employees. Additional benefits offered to eligible employees include commuter benefits, 401K plan with matching, and a referral bonus program. SPECTRA FORCE provides unpaid leave as well as paid sick leave when required by law.
Equal Opportunity Employer: SPECTRA FORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at if you require reasonable accommodation.

California Applicant Notice: SPECTRA FORCE is committed to complying with the California Privacy Rights Act ( CPRA ) effective January 1, 2023; and all data privacy laws in the jurisdictions in which it recruits and hires employees. A Notice to California Job Applicants Regarding the Collection of Personal Information can be located on our website. Applicants with disabilities may access this notice in an alternative format by contacting .

LA County, CA Applicant Notice: If you are selected for this position with SPECTRA FORCE , your offer is contingent upon the satisfactory completion of several requirements, including but not limited to, a criminal background check. We consider qualified applicants with arrest or conviction records for employment in accordance with all local ordinances and state laws, including the Los Angeles County Fair Chance Ordinance for Employers (FCO) and the California Fair Chance Act (FCA). The background check assessment will consider whether a criminal history could reasonably have a direct, adverse impact on the job-related safety, security, trust, regulatory compliance, or suitability for this role. Such findings may result in withdrawal of a conditional job offer.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

• Dice Id: 10119021
• Position Id: 8568304

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