Data Scientist

TheCorporate is an organization seeking a Data Scientist for their Electric Operations Excellence Team. Further details about the company's mission and culture were not provided in the job description.

Introduction

We are seeking an experienced Data Scientist to join the Electric Operations Excellence Team. You will translate business needs into advanced analytics and machine learning models, taking responsibility for model selection, training data identification, model building, training, evaluation, and regular delivery of results to the business. This role is a hybrid position, requiring travel to local Bay Area office locations, specifically once a week to the Dublin innovation or Bay Area office.

Responsibilities

• Lead the development of high-complexity models and training sets.
• Provide hands-on execution and implementation of data science models.
• Translate business analysis needs into well-defined data science problems.
• Select appropriate models and algorithms and communicate model evaluation and implications of results to stakeholders.
• Recognize and prioritize critical data science work to achieve the highest operational impact for analytics within the business.
• Balance tradeoffs between analytics value, model development methods, design, and technologies for implementing data science models, with a bias toward action.
• Perform collaborative work on data science problems and mentor junior data scientists.
• Create shared process models, business objects, activity diagrams, and process documentation to articulate multiple views of business solutions supporting technical architecture.
• Manage the development of quantitative models and tools.
• Collaborate with leaders, other Lines of Business (LOBs), and business partners on issues, projects, and activities.
• Develop new or revise complex models to predict business demand trends, volume and expenditure forecasts, capacity analysis, and various other metrics to identify potential opportunities.
• Assess business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures, processes, and advanced data analysis.
• Partner with leaders to drive high performance within their lines of business.
• Develop a deep understanding of business drivers and financial levers to provide strategic decision support.
• Oversee the resolution of complex projects and programs.
• Develop and maintain up-to-date detailed project schedules and work plans.
• Perform analysis on complex data models requiring customized reports and data, and present recommendations.

Requirements

• Bachelor's Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics, or a job-related discipline, or equivalent experience.
• 8 years of job-related experience, OR Master's Degree with 6 years of job-related experience, OR Doctorate Degree with 3 years of job-related experience.
• 5 years of experience in data modeling.
• 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.
• Ability to provide insights clearly and concisely for upper management review through graphics, PowerPoint presentations, dashboards, etc.

Nice to Have

• 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 with data science notebooks (Jupyter, Zeppelin or other).
• Experience with AWS, Azure, and 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.
• Knowledge of relevant programming languages such as Visual Basic, Ladder Logic, Programmable Logic Controller, C, SharePoint, HTML, Java, Adobe.
• 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.
• Knowledge of statistical theories, concepts, methods, best practices, and analyses.
• Ability to develop reports, models, and simulations.
• 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.
• Understanding of Utility data, industry context, project management methodologies, and Foundry experience.