Description
Salary Range: $87,182-$130,111
Relocation: No
About Us
Oncor Electric Delivery Company LLC, headquartered in Dallas, is a regulated electricity transmission and distribution business that uses superior asset management skills to provide reliable electricity delivery to consumers. Oncor (together with its subsidiaries) operates the largest transmission and distribution system in Texas, delivering power to nearly 4 million homes and businesses and operating more than 143,000 miles of transmission and distribution lines in Texas.
Position Summary
As a Data Scientist at Oncor, you'll 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, you'll 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 role may also use data external to Oncor such as weather, regulatory and demographic data.
You'll utilize effective organizational skills along with 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.
We are considering applicants with multiple experience levels. Please view all details related to responsibilities, education, and experience level for each level of consideration.
Key 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.
In addition to the above, the Data Scientist, Senior responsibilities include :
Directly interfaces with Data Management to ensure analytical and statistical tools are producing desired outcomes.
Able to manipulate large data sets that lead to the development of operational tools.
Skills
Demonstrates skills in prioritization, multi-tasking and success in adapting to change.
Proficient with Structured Query Languages (SQL) @type programming language and/or has exposure to advanced tools.
Proficient with Microsoft Excel.
Strong communication skills.
Education & Experience
Data Scientist, Staff requirements:
High School Diploma, GED, or equivalent and 8+ data analytics experience OR Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science or Business Administration and 4+ data analytics experience OR Master's degree in Engineering, Mathematics, Statistics, Computer Science, or Business Administration and 2+ years of data analytics experience.
Data Scientist, Senior requirements:
High School Diploma, GED, or equivalent and 10+ years of data analytics experience OR Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science or Business Administration and 6+ years of data analytics experience OR Master's degree in Engineering, Mathematics, Statistics, Computer Science, or Business Administration and 2+ years of data analytics experience.
Applicants with Data Science certifications from Data Science Council of America (DASCA) or similar are encouraged to apply.
Measure of Success
Demonstrates technical aptitude and willingness to learn.
Demonstrates effective communication with internal and external work groups.
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.
Benefits
At Oncor, we offer a comprehensive set of benefits, compensation and performance management programs designed specifically to attract, retain, motivate and reward our high-performing workforce. Our supportive and inclusive culture allows every team member the opportunity to thrive and make a difference. We invest in our employee's success and well-being by offering such things as:
Annual incentive program.
Competitive health and welfare benefits (medical, dental, vision, life insurance).
Ability to earn wellness incentives (up to $2,000 in 2025) and other wellbeing resources.
401k with dollar-for-dollar company match up to 6%.
401k match with 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.
Other perks such as commuter benefits, electric vehicle incentive program, appliance purchase plan.
Participation in benefit programs for employees in collective bargaining units is subject to the applicable collective bargaining agreement.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
