Advanced Data Scientist - GenAI, Experimentation, & Computer Vision
About The Position
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.
Requirements
- Bachelor's degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.
- 8 years of experience required.
- An equivalent combination of education and related experience may be considered.
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
