Data Scientist Staff

Oncor•Ft Worth, TX

About The Position

The Data Scientist Staff position will leverage very large data sets to support Oncor Operations and Maintenance departments in their continuous effort to improve safety, increase reliability and provide better service to the 10 million customers in the Oncor service territory. To accomplish the desired results, the incumbent will utilize data sets such as operational data from the bulk power grid, outage event information, data from 3.8 million meters and asset information. The position may also use data external to Oncor such as weather, regulatory and demographic data. Emphasis will be placed on the incumbent’s ability to utilize advanced tools designed for very large data sets. The incumbent will also utilize their organizational skills along with their knowledge of relational and time series databases to evaluate various advanced modeling techniques, build/maintain appropriate queries, develop necessary algorithms, and create both ad-hoc and published reports. This will include analyzing, troubleshooting and enhancing poor performing queries, algorithms and reports. This position may be required to attend and present at internal meetings and events as well as presenting at various analytics conferences each year. This could include visiting with other utilities and vendors at their facility or one of Oncor’s Texas location.

Requirements

High School Diploma, GED, or equivalent is required.
Eight years data analytics experience without a degree OR Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science or Business Administration with four years data analytics experience OR Master’s degree in Engineering, Mathematics, Statistics, Computer Science, or Business Administration and two years data analytics experience.
Proficient with Structured Query Languages (SQL), Python, .Net and has exposure to advanced tools such as Spark, Cassandra, Hadoop or similar.

Nice To Haves

Applicants with Certifications in Data Science such as DASCA, Data Science Council of America, or similar are encouraged to apply.
Demonstrates technical aptitude and willingness to learn.
Demonstrates effective communication with internal and external work groups.
Demonstrates skills in prioritization, multi-tasking and success in adapting to change.
Demonstrates commitment to safety and promotes safety awareness.
Demonstrates ability to effectively manage projects from conception to completion.
Demonstrates the ability to train and teach peers.

Responsibilities

Consistently research new methods of capturing data.
Develop infrastructure to clean data and implement data scrubbing automation protocols.
Gathers, extracts, manipulate, analyze, curate, and model data using analytical and statistical tools.
Identifies new sources of data and new methods to improve data collection, analysis, and reporting.
Maintains a database ‘sandbox’ or ‘workbench’ environment to achieve the required reports.
Ensures the efficient performance of queries, algorithms and analytical functions to generate reports.
Design complex reports or presentations to monitor and analyze assets, events, communications, energy usage, customer information, and other related use cases.
Works independently and receives minimal guidance.
Acts as a resource for colleagues with less experience.

Benefits

Annual incentive program
Competitive health and welfare benefits (medical, dental, vision, life insurance)
Ability to earn wellness incentives (up to $2,300 in 2026 as an Employee only) and other wellbeing resources.
401k with dollar-for-dollar company match up to 6%
401k match for student debt program
Cash balance pension plan
Adoption Assistance
Mental health resources
Employee resource groups
Tuition reimbursement
Competitive vacation, 10 company holidays and 2 personal holidays
Paid parental leave
Salary continuation for up to 6 months for approved employee illness or injury
Commuter benefits
Electric vehicle incentive program
Appliance purchase plan