World Wide Technology is looking for an Data Scientist.This role is part of WWT’s Strategic Resourcing services and is a contract role. The candidate will be supporting a WWT customer and will be employed by one of WWT’s preferred partners. The partner will provide full compensation and benefit information prior to employment with the partner.

Why WWT?

At Worldwide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits, and by delivering cutting-edge technology solutions for our clients.

WWT was founded in 1990 in St. Louis, Missouri. We employ more than 10,000 people globally and close nearly $20 billion in revenue in 2023. We have an inclusive culture and believe our core values are the key to company and employee success. WWT is proud to have been included on the FORTUNE "100 Best Places to Work For®" list 12 years in a row!

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

Rate/Salary: A reasonable estimate of the current pay range for this position is $65.00 to $70.00 hourly on W2 hourly. Actual pay will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs, and will be set by your employer. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in base pay.

Job Title: Data Scientist

Location: Onsite daily in either Las Vegas, NV or Des Moines, IA

Duration: 6 Month Contract to Hire

Position Overview:

Role Overview: Seeking a Data Scientist to join a small, collaborative team focused on asset management analytics for utility operations (gas, electric generation, distribution, renewables, pipelines, thermal). The team uses Azure-based technologies and supports multiple projects with end-to-end ownership.

Key Responsibilities:

This role is instrumental in driving data-driven decision-making across the organization, with a strong focus on leveraging Microsoft Azure as the core data and analytics platform. The ideal candidate will have a passion for solving complex business problems using data science techniques and cloud-native tools.
Supporting analytics projects in asset management, including performance analytics, fault analytics, investment optimization, and predictive modelling.
Collaborate closely with business SMEs, data engineers, and other team members to understand operational challenges and translate them into data-driven solutions.
Own project delivery from data exploration to model deployment, ensuring solutions are practical and aligned with business needs.
Remain flexible to contribute across data engineering, data science, and AI engineering tasks as needed.
Participate in daily team check-ins, process improvement discussions, and ongoing learning about utility asset operations.

Technical Skills:

2-5 Years of Hands-on experience with Microsoft Azure services, including:
Azure Machine Learning
Azure Data Factory
Azure Databricks
Azure DevOps
Proficiency in Python similar programming languages.
Strong SQL skills and experience working with large-scale data sets.
Experience with version control (e.g., Git) and Agile development practices
Experience with RAG-based applications, Azure Foundry, Azure Search, and Document Intelligence is a plus.
Familiarity with asset management or utility industry data is preferred but not required.

Soft Skills:

Strong collaboration and communication skills; ability to work closely with team members and business stakeholders.
Willingness to learn new domains and adapt to evolving project needs.

If you have any questions or concerns about this posting, please email SRpostings@wwt.com.

World Wide Technology

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