Advanced Data Scientist - GenAI, Experimentation, & Computer Vision

Job Posting End Date

05-30-2026

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

Job Summary

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!

Job Description

Help Us Power the Future by Connecting Business Needs with AI Capabilities at AEP!

At American Electric Power, we’re building a modern AI and analytics ecosystem that empowers teams across the company to use AI responsibly and effectively. We’re seeking an Advanced Data Scientist who blends strong statistical foundations with hands-on software engineering skills and can take ideas from research through experimentation, validation, and deployment. In this role, you’ll be a technical leader in applying a variety of GenAI techniques to real business problems, alongside more traditional AI/ML, with a particular emphasis on computer vision for drone imagery. You’ll help shape the team’s tooling and development patterns, partner deeply with business units to understand AI/ML needs, and mentor other data scientists to raise the bar for AI delivery across the company.

What you’ll do:

Essential Job Functions & Tasks

Design & Deliver AI/ML Solutions

• Design, build, and deploy AI/ML solutions using a mix of traditional ML and GenAI techniques.

• Apply strong statistical judgment to model selection, evaluation, and validation.

• Incorporate computer vision techniques where appropriate, including imagery‑based use cases such as drone data.

Experimentation & Model Quality

• Design and run experiments to evaluate model performance and business impact.

• Define success metrics, validation approaches, and acceptance criteria for AI solutions.

• Perform error analysis, robustness checks, and performance tuning prior to production use.

Production Readiness & Tooling

• Package and deploy models using established pipelines and platforms.

• Apply best practices for versioning, reproducibility, and experiment tracking.

• Help guide and improve the tools, platforms, and development patterns used by data scientists across teams.

Business Partnership & Translation

• Work with business units to understand AI/ML needs and identify high‑value use cases.

• Translate business problems into clear technical approaches and delivery plans.

• Communicate results, tradeoffs, and recommendations to both technical and non‑technical stakeholders.

Technical Leadership & Mentorship

• Provide technical guidance and review for other data scientists and partner teams.

• Mentor peers on modeling approaches, experimentation, and production delivery.

• Serve as a role model for high‑quality, responsible, and scalable AI/ML work across the company.

Preferred Skills:

• Experience delivering end‑to‑end AI/ML solutions from experimentation through production.

• Strong foundation in statistics and experimental design, including model evaluation and success metrics.

• Hands‑on experience building models across traditional ML and GenAI, with sound judgment on approach selection.

• Experience applying computer vision techniques and building scalable imagery‑based ML pipelines.

• Solid software engineering practices, including reproducibility, version control, and reusable code.

• Practical MLOps experience with model packaging, deployment, tracking, and monitoring.

• Ability to translate business needs into technical direction and clearly communicate tradeoffs.

• Demonstrated technical leadership through mentoring, review, and influence.

• Strong Python skills for ML development; working knowledge of R preferred.

What We're Looking For:

Education requirements are listed below:

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

Work Experience requirement listed below:

• 8 years of experience required. An equivalent combination of education and related experience may be considered.

\What You'll Get:

Base Salary from $116,255.00 - $151,132.50/year.In addition to a competitive compensation, AEP offers a unique comprehensive benefits package that aims to support and enhance the overall well-being of our employees.

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!

Compensation Data

Compensation Grade:

SP20-009

Compensation Range:

$116,255.00 - $151,132.50

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.