Data Scientist

4 weeks ago

San Ramon, United States World Wide Technology Full time

Company Overview:

Worldwide Technology is looking for Senior Data Scientist. This job is part of WWT’s Strategic Resourcing services. The candidate will be supporting a WWT customer and will be employed by one of WWT’s preferred partners.


Worldwide Technology (WWT) is a global technology integrator and supply chain solutions provider. Through our culture of innovation we inspire, build and deliver business results, from idea to outcome.

Based in St. Louis, WWT works closely with industry leaders such as Cisco, HPE, Dell EMC, NetApp, VMware, Intel, AWS, Microsoft, and F5, focusing on three market segments: Fortune 500 companies, service providers and the public sector. WWT employs more than 5,400 people and operates in more than 2+ million square feet of state-of-the-art warehousing, distribution and integration space strategically located throughout the world. WWT is proud to announce that it has been named on the FORTUNE "100 Best Places to Work For®" list for the eighth consecutive year and was awarded for multiple categories on Glassdoor’s 2019 Employees' Choice Awards, honoring the Best Places to Work.


Title: Front End Data Scientist, Senior

Location: Hybrid in San Ramon, CA

Duration: 11 Months.



Department Overview


Client's Meteorology Operations and Analytics team is one of the most impactful at the company, providing support across all aspects of Client's utility operations through advanced modeling and monitoring capabilities. Our modelling program includes high resolution weather forecasting, utility fire risk forecasting, outage and storm forecasting, solar forecasting, electric and gas load forecasting, and hydro forecasting. The team has deployed a utility-mesonet with more than 600 weather stations, deployed over 130 high-resolution “Alert Wildfire” cameras and developed a fire detection and alert system using geosynchronous and polar-orbiting satellites. The team constructed an hourly 30-year high-resolution down-scaled climatology of weather and fuel models, operates a high-resolution weather-fuels coupled forecast model, and leverages fire spread and consequence simulations of >70 million fires igniting near overhead utility infrastructure daily.


Position Summary


Designs, develops, and executes scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating actionable insights for strategy and policy development, process improvement, and product enhancement. Works on technical development phases: data engineering, analytics/modeling, and visualization/user interface. Works with teams, clients, and senior leadership throughout the development cycle practicing continuous improvement.


Job Responsibilities


Shares and collaborates with other CLIENT'S data science professionals.

Works closely with domain experts to develop relevant domain knowledge in the electric and gas utility, as well as knowledge of related datasets.

Gathers, cleans, transforms, and/or reduces data from dissimilar sources from across CLIENT'S .

Applies back end developing techniques to produce various products for use by the Meteorology Department as well as the wider company.

Documents data sources, methodology, and model evaluation metrics.

Fluent in various development technologies such as git, python, and AWS infrastructure, etc.

Can work independently while also collaborating with an team of developers. Qualifications

Minimum:


Bachelors Degree in in Computer Science, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience

Desired:


Graduate Degree in job-related discipline or equivalent experience

Utility industry experience, 1 year

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