Data Scientist Sr. | TRANSMISSION Systems & Asset Health
Job Posting End Date
06-23-2026Please 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
ESSENTIAL JOB FUNCTIONS:
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.
MINIMUM REQUIREMENTS:
Education: Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.
Experience: 5 years of relevant work experience is required.An equivalent combination of education and related experience may be considered.
OTHER REQUIREMENTS:
Experience with analytics packages such as SAS, R, SPSS.
Compensation Data
Compensation Grade:
SP20-008Compensation Range:
$98,993.00 - $128,688.00The 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.
Hear about it first! Get job alerts by email. Log in to your Candidate Home Account today! If you don't have an account, you can create one.
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.