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Economics Data Science Jobs Near Me

Bachelor's degree (Major in statistics, computer science, economics, engineering or similar quantitative field preferred) or equivalent experience. * 5+ years of professional experience as a data ...

Lead Data Scientist

Columbus, OH · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics * 8 - 10 years experience in building sophisticated models using machine learning, segmentation ...

Lead Data Scientist

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Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics * 8+ years experience in building sophisticated models using machine learning, segmentation ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science ...

Data Scientist

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Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics. * 2-3 years experience in building sophisticated models using machine learning, segmentation ...

Data Scientist

Columbus, OH · On-site +1

$104K - $180K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics. * 2-3 years experience in building sophisticated models using machine learning, segmentation ...

Data Scientist Senior Associate

Columbus, OH · On-site

$57K - $57K/yr

Bachelor's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field) * 3+ years of experience applying ...

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Economics Data Science information

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$41.5K

$142.5K

$201K

How much do economics data science jobs pay per year?

As of Aug 2, 2026, the average yearly pay for economics data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Economics Data Science jobs? Cities with the most Economics Data Science job openings:
What states have the most Economics Data Science jobs? States with the most job openings for Economics Data Science jobs include:
What are the most commonly searched types of Economics Data Science jobs? The most popular types of Economics Data Science jobs are:
A map of the United States highlighting the number of Economics Data Science job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Economics Data Science job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Scientist / Data Scientist Senior

Aep

Columbus, OH

Full-time

Retirement

Posted 2 days ago

New


Job description

Job Posting End Date

08-15-2026

Please note the job posting will close on the day before the posting end date.

Job Summary

AEP is seeking a motivated and detail-oriented Data Scientist or Data Scientist Senior to join our Supply Forecasting team. This role is responsible for developing and maintaining advanced forecasting models, conducting economic and variance analysis, and delivering actionable insights to support strategic decision-making around our generation and market simulation projections. Other duties include intermediate analysis on various data types to uncover hidden patterns and unknown correlations to support business and management decisions. The ideal candidate will blend strong technical skills with business acumen to support regulatory filings, operational planning, and corporate initiatives.

Job Description

What You'll Do:

  • Forecasting & Modeling: Develop and maintain industry leading econometric and time series models that support regulatory filings and corporate planning.

  • Regulatory Support: Contribute to reports and analysis used in regulatory filings such as base cases, fuel filings, capacity resource plans, and securitization filings.

  • Variance Analysis: Assist in preparing unit dispatch and market variance analyses to measure performance and support corporate strategies.

  • Industry Research & Analysis: Conduct periodic studies and monitor industry trends relevant to AEP's service territory to inform planning and strategic decision-making around our generation fleet.

  • Data Collection & Management: Gather and manage data related to unit dispatch, fuel prices, power prices, and economic indicators to support forecasting and analysis. Create and maintain database tables to support data storage, retrieval, and reporting needs.

  • Visualization & Reporting: Create clear, compelling reports and visualizations to communicate findings to business partners and senior management.

  • Industry Awareness: Stay informed on industry trends, economic conditions, and regulatory developments affecting the AEP service territory.

  • Collaboration: Work closely with internal stakeholders to understand business needs and provide analytical support.

What We're Looking For:

Education Requirements:

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

Experience Requirements:

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

-5 years of relevant work experience is required. An equivalent combination of education and related experience may be considered. (Data Scientist Senior)

Preferred Skills and Experience:

  • Coding: experience and knowledge of statistical software packages such as R, Python, and /or SAS

  • Forecasting Expertise: Experience with forecasting through econometric modeling or time series analysis.

  • Visualization Tools: Proficiency with data visualization platforms such as Power BI, or similar tools.

  • Database Skills: Strong SQL skills and experience working with large relational databases. Experience working with Plexos, Aurora, or Encompass software also a plus.

  • Communication Skills: Ability to translate complex data into clear, actionable insights for non-technical stakeholders.

  • Utility Industry Experience: Prior experience in the energy or utilities sector is a plus.

Where You'll Work:

  • This is an On-Site role based out of Columbus, OH.

What You'll Get:

  • Salary Range between: $87,000-$105,000 (Data Scientist), $100,000-$120,000 (Data Scientist Senior)

  • Annual Bonus

  • 401(k) Match

  • AEP Pension

  • Comprehensive Benefits Package that aims to support and enhance the overall well-being of our employees

Where Putting the Customer First Powers Everything We Do!
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:

SP20-007

Compensation Range:

$87,633.00 - $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.