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Energy Data Science information

Is 40 too late for data science?

Energy Data Science is a field that values skills, experience, and continuous learning over age. Many professionals transition into data science later in their careers by acquiring relevant technical skills, certifications, and practical experience, making age less of a barrier. Success depends on your ability to adapt and build a strong portfolio of work, regardless of age.

What is the 80 20 rule in data science?

In energy data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of outcomes result from 20% of the causes. Data scientists often use this rule to focus on the most impactful variables or data segments to optimize analysis and decision-making.

What is energy data science?

Energy data science is a specialized field that involves analyzing large datasets related to energy production, consumption, and infrastructure to optimize efficiency and inform decision-making. Professionals in this field often use statistical methods, machine learning, and data visualization tools to identify patterns and improve energy systems. Strong skills in programming, data analysis, and domain knowledge of energy systems are essential for success in this role.

What is the difference between Energy Data Science vs Energy Analyst?

AspectEnergy Data ScientistEnergy Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Energy, Economics, or related field; strong analytical skills
Work EnvironmentData-driven projects, modeling, and algorithm development in tech or energy companiesData analysis, reporting, and market assessment in energy firms or utilities
Employer & Industry UsageTech companies, energy firms focusing on data modeling and predictive analyticsUtilities, energy consulting, and market analysis firms

Energy Data Scientists focus on developing models and algorithms to analyze energy data, while Energy Analysts interpret data to inform business decisions. Both roles require analytical skills, but Data Scientists emphasize programming and modeling, whereas Analysts focus on reporting and market insights.

What is the highest paid job in data science?

In data science, senior roles such as Lead Data Scientist, Machine Learning Engineer, or Data Science Director tend to have the highest salaries, often exceeding $150,000 annually depending on experience, industry, and location. Specialized skills in deep learning, AI, and cloud platforms can also command higher compensation.
What are popular job titles related to Energy Data Science jobs in Indiana? For Energy Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Energy Data Science jobs in Indiana look for? The top searched job categories for Energy Data Science jobs in Indiana are:
Energy Data Science jobs near you
Infographic showing various Energy Data Science job openings in Indiana as of June 2026, with employment types broken down into 10% Internship, 78% Full Time, and 12% Part Time. Highlights an 89% In-person, 6% Hybrid, and 5% Remote job distribution.
Data Scientist Associate - Data Scientist Sr.

Data Scientist Associate - Data Scientist Sr.

American Electric Power

Wayne, IN • On-site

$98K - $128K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

American Electric Power rating

8.7

Company rating: 8.7 out of 10

Based on 97 frontline employees who took The Breakroom Quiz

7th of 50 rated energy and utility

Job description

Job Posting End Date
06-17-2026
Please note the job posting will close on the day before the posting end date.
Job Summary
The Perfect Power Data Scientist will be responsible for conducting analyses on various data types to uncover hidden patterns and unknown correlations to support business and management decisions. This includes data mining, data auditing, aggregation, validation, and reconciliation. Create visual dashboards to develop reliable real-time visibility into key metrics and access deeper analysis, forecasting, and scenario modeling. Utilizes analytics and statistical software such as SQL, R, Python, Excel, Hadoop, Tableau, SAS, SPSS, and others to perform analysis and interpret data. This role would help to automate tasks, improve the quality of reporting and introduce advanced analytics for the company to make faster, smarter decisions.
Job Description
What you'll do:
ESSENTIAL JOB FUNCTIONS
  • Development of analytical solutions to solve high-value business problems across AEP.
  • Utilize analytical tools and data management skills to provide actionable business intelligence.
  • Build business knowledge across the organization and utilize knowledge to assist in the development of meaningful analyses.
  • Help identify, acquire, and provide management of data needed for various analytic studies.
  • Assist in the development of components of predictive and prescriptive systems to optimize operations and support strategic initiatives.
  • Apply data visualization tools to large data sets to enhance data understanding.
  • Acquire knowledge of business processes and data acquisition practices from business units using disparate systems.
  • Collaborate with technology partners to develop data acquisition and data management practices.
  • Help develop concise meaningful written reports and provide oral presentation of information, reporting dashboards that meet business needs for status, trends, and variances.
  • Collaborate with technology and business units to operationalize meaningful reports and dashboards.

What we're looking for:
Minimum requirements for SG 06 Data Scientist Associate:
Education requirements are listed below:
  • Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.

Work Experience requirement listed below:
  • No additional experience is required.
  • An equivalent combination of education and related experience may be considered.

Minimum requirements for SG 07 Data Scientist:
Education requirements are listed below:
  • Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.

Work Experience requirement listed below:
  • 2 years of relevant work experience is required.
  • An equivalent combination of education and related experience may be considered.

Minimum requirements for SG 08 Data Scientist Sr.:
Education requirements are listed below:
  • Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.

Work Experience requirement listed below:
  • 5 years of relevant work experience is required.
  • An equivalent combination of education and related experience may be considered.

What you'll get:
SG 06 Data Scientist Associate salary starting between: $74,551-$93,189
SG 07 Data Scientist salary starting between: $87,633-$109,544
SG 08 Data Scientist Sr. salary starting between: $98,993-$128,689
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.
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!
Compensation Data
Compensation Grade:
SP20-006
Compensation Range:
$74,551.00 - $128,688.00
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.

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About American Electric Power

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AEP Energy is a certified competitive retail electricity and natural gas supply provider. We proudly serve residential, small business and commercial and industrial customers. AEP Energy has over 100 years of industry experience with backing from our parent company, American Electric Power (AEP). AEP is one of the largest electric energy companies in the United States and ranked 204 of the Fortune 500.

Industry

Utilities

Company size

10,000+ Employees

Headquarters location

Columbus, OH, US

Year founded

1906

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