Job Posting End Date
10-11-2025
Please note the job posting will close on the day before the posting end date.
Job Summary
Responsible for leading the analysis and interpretation of data and development of actionable insights and recommendations for high-value business challenges for specific business units. This includes leading discussions with stakeholders to identify value opportunities with company data. Conceives and directs development of predictive and prescriptive systems to optimize operations and support strategic initiatives, using cutting edge information technology and data science methods. Designs and delivers clear messages using the best visualization methods to support management decision making. Mentors junior data scientists on technical methodology and business acumen.
Job Description
We are seeking a highly skilled and collaborative Data Scientist to support advanced analytics initiatives and contribute to data-driven decision-making across the organization.
The ideal candidate will bring deep expertise in machine learning, data modeling, and automation, and work closely with cross-functional teams to deliver impactful insights.
What you’ll do:
- Develop advanced analytical tools to solve high-value business problems across AEP. Proficiently utilize analytical tools and data management skills to provide actionable business intelligence. Ensure pertinent data is acquired to solve advanced business problems.
- Develop predictive and prescriptive systems to optimize operations and support strategic initiatives. Apply data visualization tools to large data sets to enhance data understanding.
- Perform research to keep abreast of industry practices and participate in industry forums.
- Maintain an ongoing collaborative relationship with business partners. Evaluate business unit partner needs and provide guidance as to the value additional analyses could provide. Collaborate and oversee outsourced studies.
- Lead development of scientific studies which measure business value achieved from analytics contributions.
- Develop concise meaningful written reports and provide oral presentation to business partners and management. Track study progress and provide management with study status reports.
- May provide training and mentoring, as well as work direction, to others on the team.
What we’re looking for:
Data Scientist SG7 Education:- Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.
- Two (2) years of relevant work experience is required.
- An equivalent combination of education and related experience may be considered.
- Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.
- Five (5) years of relevant work experience is required.
- An equivalent combination of education and related experience may be considered.
- Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.
- Eight(8) years of experience required.
- An equivalent combination of education and related experience may be considered.
- Advanced proficiency in Python, SQL, and R, with hands-on experience in developing, validating, and deploying machine learning models for predictive and prescriptive analytics.
- Skilled in data science libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy, with a focus on building scalable, production-ready solutions.
- Strong background in data architecture, ETL processes, and workflow automation, optimizing performance and reducing manual effort across analytics pipelines.
- Experienced in creating interactive dashboards and reports using tools such as Power BI and IBM Cognos Analytics, enabling effective communication of insights to stakeholders.
- Proven ability to collaborate across teams, including engineering, product, and business units, to align analytics efforts with organizational goals.
- Excellent problem-solving, critical thinking, and communication skills, with a track record of translating complex data into strategic recommendations.
- Master’s degree in Data Science, Computer Science, Statistics, Analytics, or a related field preferred
Where you’ll work:
This role will sit on site in New Albany, Ohio, Tulsa, Oklahoma or Roanoke, Virginia.
What you’ll get:
Data Scientist SG7 ($85,081-$106,353)
Data Scientist Senior SG8 ($96,110-$124,940)
Data Scientist Principle SG9 ($112,869-$146,730)
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. Where Putting the Customer First Powers Everything We Do
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) $85-$147 / Year #AEPCareers Compensation Data Compensation Grade:SP20-008
Compensation Range:
$96,110.00-124,940.00 USD
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.