The business problem that American Electric Power (AEP) is looking to solve is to lead the analysis and interpretation of data and development of actionable insights and recommendations for high-value business challenges for specific business units.
Requirements
- 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
Responsibilities
- 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.
Other
- 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 for Data Scientist SG7.
- Five (5) years of relevant work experience is required for Data Scientist Senior SG8.
- Eight (8) years of experience required for Data Scientist Principle SG9.
- An equivalent combination of education and related experience may be considered.
