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Data Scientist (Associate - Mid) | TRANSMISSION Systems & Asset Health

Aep

·

Jun 23, 2026

Salary
$75k – $110k
Location
Transmission New Albany HQ1, United States of America
Type
Full-time
Department
Healthcare
Seniority
Entry
Education
Bachelor
Closing date
Jun 27, 2026
Source
Workday

Description

Job Posting End Date

06-27-2026

Please note the job posting will close on the day before the posting end date.

Job Summary

Responsible for conducting basic analysis on various data types to uncover hidden patterns and unknown correlations to support business and management decisions. This includes data mining, data auditing, aggregation, validation, and reconciliation. Build basic reports for management as well as conducts basic hypothesis tests (contextualize basic levels of complexity). Utilizes analytics and statistical software such as SQL, R, Python, Excel, Hadoop, Tableau, SAS, SPSS, and others to perform analysis and interpret data.     

Job Description

More Specific to This Opportunity:

All operating companies (OPCO's) with a focus on:

- EHV Transformer Asset failure prevention, CCVT, CB, and analysis
- Focus on Asset Performance Management application (APM) data accuracy and mapping for new AEP specialized health scores

Operational Excellence: AEP-Wide:

- Proactive data analysis work focused around CCVT and CB asset failures using NEAC and other methods, and advance alarm analysis throughout the entire AEP footprint leveraging AI solutions in the future.
 

Financial Strength: AEP-Wide:

- Asset Health Monitoring that supports Condition-Based Maintenance and Condition Based Renewal activities and creating solutions around predictive long term Asset Health Scores.
 

Customer Service / Operational Excellence: AEP-Wide:

- The data scientist will lead the proactive grid monitoring through Power Quality (PQ) data analytics of Large Load data centers, cryptocurrency facilities, AI training facilities, and IBRs for LFOs induced into the system, along with providing subsequent data analysis and monitoring for impacted areas and customers.


• Supporting the development of Distribution focused Wavewin relay oscillography data and Distribution NEAC.
• Support the expansion of APM application to the OPCO’s to use to monitor long-term health and performance of Distribution assets.
• Support the expansion of Asset Health Monitoring to Renewable Generation.
• Support background system performance data analytics, highlighting harmonics and frequencies before and after large load connections to the grid, supports large load customers and AEP in obtaining the insights and information necessary to engineer locations accurately.

WHAT YOU'LL DO

Assists with the development of basic analytical tools to solve high-value business problems across AEP.  

Utilize analytical tools and data management skills to provide actionable business intelligence.

Build business knowledge across the organization and utilize knowledge to assist in the development of meaningful analyses.Help identify, acquire, and provide management of data needed for various analytic sudies.

Assist in the development of components of predictive and prescriptive systems to optimize operations and support strategic initiatives.

Apply data visualization tools to large data sets to enhance data understanding.

Acquire knowledge of business processes and data acquisition practices from business units using disparate systems.

Collaborate with technology partners to develop data acquisition and data management practices.Help develop concise meaningful written reports and provide oral presentation of information, reporting dashboards that meet business needs for status, trends, and variances.  

Collaborate with technology and business units to operationalize meaningful reports and dashboards.

WHAT WE'RE LOOKING FOR

Based on education, experience, interview and internal equity, this opportunity will be filled commensurately at any title. For this posting, minimum requirements are stated at the lower grade. Increased expectations are at the higher grade.

Data Scientist (mid-level) (grade 6): Base Salary = $75K - $93K

Data Scientist Associate (entry-level) (grade 5): Base Salary = $64K - $79K

Education: Bachelor's degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required. 

Experience: No additional experience is required. An equivalent combination of education and related experience may be considered.

WHAT YOU'LL GET

Base Salary:  $64K - $93K

In addition to base salary, AEP offers competitive Total Rewards including:  discretionary short-/long-term incentives, 401(k), pension, health insurance, vacation, educational assistance, etc.

WHO WE ARE

At AEP, we’re more than just an energy company — we’re a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you!

AMERICAN ELECTRIC POWER (on-site)

$64K - $93K / Year

#AEPCareers #LI-ONSITE

Compensation Data

Compensation Grade:

SP20-006

Compensation Range:

$74,551.00 - $109,543.00

The Physical Demand Level for this job is: S – Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.  

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It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.

Skills

PythonSQLHadoopData ScienceExcelTableauCustomer ServiceR

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