SPECTRAFORCE · 3 hours ago
Data Scientist-Local to San Ramon, CA
SPECTRAFOR is seeking an experienced Data Scientist to join their Electric Operations Excellence Team. The role involves translating business needs into advanced analytics and machine learning models, leading model development, and delivering insights to stakeholders.
Responsibilities
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, projects or activities
Develops new or revises complex models to predict business demand trends, and volume and expenditures forecasts capacity analysis, and various other metrics to identify potential opportunities
Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis
Partners with leaders to drive high performance in their lines of business
Develop deep understanding of business drivers and financial levers to provide strategic decision support
Oversees resolution of complex projects and programs
Develops and maintains up-to-date detailed project schedules and work plans
Performs analysis on complex data models requiring customized reports and data and presents recommendations
Qualification
Required
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
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
Experience in data modeling, 5yrs
Preferred
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
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
Company
SPECTRAFORCE
Welcome to SPECTRAFORCE, your gateway to NEWJOBPHORIA™! Established in 2004, SPECTRAFORCE is now one of the largest and fastest growing U.S.
H1B Sponsorship
SPECTRAFORCE has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (6)
2023 (1)
2022 (6)
2021 (8)
2020 (7)
Funding
Current Stage
Late StageCompany data provided by crunchbase