Data Scientist
Hybrid in San Ramon, CA, US • Posted 19 days ago • Updated 11 hours ago

Verism Systems
Dice Job Match Score™
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Job Details
Skills
- Data Science
- Analytics
- Advanced Analytics
- Algorithms
- Data Modeling
- Data Manipulation
- IT Architecture
- Calculus
- Machine Learning (ML)
- Linear Algebra
- Python
- R
- SQL
- Statistics
- Pandas
- Scikit-learn
- Spark
- Modeling
- Mathematics
- Forcasting
- Electric/Gas/Utilities
Summary
MUST BE LOCAL TO SAN FRANCISCO, CA
MUST HAVEN ELCTRIC/AUTILITIES or OIL& GAS EXPERIENCE
We are seeking an experienced Data Scientist who will provide strong execution and delivery of data science. Working as a part of the Electric Operations Excellence Team, this Data Scientist will translate business needs into advanced analytics and machine learning models. The successful candidate will be responsible for model selection and identification of appropriate training data sets; building, training, and evaluating models; and delivering results to the business on a regular cadence. This role will work alongside a product owner, technical lead, and with internal stakeholders, process owners to support delivery of high-value analytics machine learning models to derive key insights for execution of the work within Electric Operations.
MUST HAVE SKILLS:
- Machine Learning & Algorithms
- Hands-on experience building and deploying ML models for real world applications.
- Understanding of model evaluation, optimization, and feature engineering
- Mathematics & Statistics
- Solid foundation in probability, linear algebra, calculus, and statistical inference.
- Programming Proficiency
- Strong command of languages like Python, R, and SQL for data manipulation and model development.
- Presentation Skills
- Provide insights in clear and concise manner for upper management review through various mediums such as graphics, power point presentations, dashboards, etc.
- Understanding of Utility data, has industry context, project management methodologies, Foundry experience.
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 tradeoffs 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.
SKILLS:
- Bachelor's Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
- Job-related experience, 8 years,
- Experience in data modeling, 5yrs
- 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
- Dice Id: 10123692
- Position Id: 8847277
- Posted 19 days ago
Company Info
About Verism Systems
Our Mission: To optimize, integrate, and manage our clients software and IT framework to enable them to use their business data for maximizing performance and the ROI from IT Investments.
Our superior capability to combine System integration expertise & experience from implementations is complimented by our commitment to our clients. This allows us to create and implement customized solutions that will help us achieve our mission, fueling our clients success.
Founded in 2005, Verism Systems is an IT consulting & staffing firm that strives and specializes in helping our clients realize the benefits of an integrated Enterprise. Our company enjoys the leadership of its visionary principals and the commitment of the brightest experts in the IT industry. Verism Systems also capitalizes on mutually beneficial partnerships with major industry players.
We leverage all these assets to enhance the IT framework & efficiency of many Fortune 500 companies and large technology consulting firms across the US. Verism Systems was established with the objective of being seamless extension of the clients IT organization and we have grown exceedingly efficient at it.
At Verism Systems we are in a state of perpetual improvement, enhancing our capabilities for adding more value to our clients. Flexibility and agility in the alignment of business and technology is crucial for success. We not only maintain this alignment within Verism Systems, but work hard to help our clients achieve it as well.
Verism Systems is an enterprise that deeply values quality human resource. Our focus on the people in our organization is one of the prime reasons of our success. We attract, maintain and develop the top industry talent, a rare feat that we help our clients achieve as part of our solutions. Verism's IT experts are highly motivated professionals who pursue & enjoy exposure to new technologies in a variety of industries, a quality that invariably results in the best IT consulting & staffing solutions for our clients.
Companies face escalating challenges to optimize technology solutions for almost all business functions. Through our world-class IT consulting & staffing solutions, Verism Systems successfully helps its Fortune 500 clients in improving their operational efficiency by improving their decision-making and enhancing their customer experience. As we help clients re-examine how to best leverage ERP solutions within their unique enterprise infrastructure, the invariable result is measurable performance improvement the real success we always aim for and achieve.

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