Data Scientist Senior - Principle at American Electric Power

New Albany, Ohio, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Utilities, EnergyIndustries

Requirements

Bachelor's degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field
Eight (8) years of relevant work experience (or equivalent combination of education and related experience)
Advanced proficiency in Python, SQL, and R
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

Responsibilities

Lead the analysis and interpretation of data and development of actionable insights and recommendations for high-value business challenges
Lead discussions with stakeholders to identify value opportunities with company data
Conceive and direct development of predictive and prescriptive systems to optimize operations and support strategic initiatives using cutting-edge information technology and data science methods
Design and deliver clear messages using the best visualization methods to support management decision making
Mentor junior data scientists on technical methodology and business acumen
Develop advanced analytical tools to solve high-value business problems
Proficiently utilize analytical tools and data management skills to provide actionable business intelligence
Ensure pertinent data is acquired to solve advanced business problems
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 presentations to business partners and management
Track study progress and provide management with study status reports
Provide training and mentoring, as well as work direction, to others on the team

Skills

Key technologies and capabilities for this role

Machine LearningData ModelingPredictive ModelingPrescriptive AnalyticsData VisualizationPythonRSQLAnalytics ToolsBusiness IntelligenceAutomation

Questions & Answers

Common questions about this position

What education is required for the Data Scientist Senior position?

A Bachelor's degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.

What experience is needed for the Senior Data Scientist role?

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

What are the main responsibilities of this Data Scientist position?

Responsibilities include developing advanced analytical tools and predictive systems, applying data visualization, leading scientific studies, mentoring junior data scientists, and collaborating with business partners to deliver actionable insights.

Is remote work an option for this role?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.