Data Scientist Senior - Principal

Job Posting End Date

11-16-2025

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. 

Experience:

• Two (2) years of relevant work experience is required.
• An equivalent combination of education and related experience may be considered.

Data Scientist Senior SG8

Education:

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

Experience:

• Five (5) years of relevant work experience is required.
• An equivalent combination of education and related experience may be considered.

Data Scientist Principal SG9

Education:

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

Experience:

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

In addition:

• 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: