1

Senior Computer Data Scientist Jobs in Ohio (NOW HIRING)

As a Senior Data Scientist you will work with stakeholders throughout the organization to identify ... Master's Degree in a quantitative field (Mathematics, Computer Science, or Statistics or related ...

As a Senior Data Scientist, you'll serve as a technical leader and strategic partner, designing advanced data products and AI-driven systems that deliver measurable business value. You'll influence ...

POSITION SUMMARY Flexjet is seeking a Senior-Level Enterprise AI Data Scientist to design, develop ... computer science, Information Technology, Data Science, or a related field, or an equivalent ...

Qnity Electronics is accepting applications for a full-time position as a Senior Data Scientist. This position will be at Qnity's corporate headquarters in Wilmington, DE. For experienced data ...

POSITION SUMMARY Flexjet is seeking a Senior-Level Enterprise AI Data Scientist to design, develop ... computer science, Information Technology, Data Science, or a related field, or an equivalent ...

POSITION SUMMARY Flexjet is seeking a Senior-Level Enterprise AI Data Scientist to design, develop ... computer science, Information Technology, Data Science, or a related field, or an equivalent ...

Flexjet is seeking a Senior-Level Enterprise AI Data Scientist to design, develop, and deploy ... Required : • Bachelor's or master's degree in computer science, Information Technology, Data ...

How You Will Make An Impact The Senior Data Scientist leads data driven problem solving, including ... MS or PhD in data science, computer science, applied mathematics, physics, or related STEM field.

next page

Showing results 1-20

Senior Computer Data Scientist information

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Machine Learning Director, with salaries exceeding $150,000 annually. These roles typically require advanced skills in machine learning, big data tools, and leadership experience. Compensation varies based on industry, location, and company size.

Is 40 too late for data science?

Age is not a barrier to becoming a senior computer data scientist, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Success depends on your ability to adapt and build a strong portfolio of projects and certifications regardless of age.

What is the difference between Senior Computer Data Scientist vs Data Analyst?

AspectSenior Computer Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Computer Science, Data Science, or related fields; experience with programming, machine learningBachelor's degree in Statistics, Mathematics, or related fields; proficiency in data visualization and basic analytics
Work EnvironmentDevelops models, algorithms, and advanced analytics; often in R&D or data science teamsPrepares reports, visualizations, and interprets data for business decisions
Employer & Industry UsageTech companies, finance, healthcare, and large enterprises with complex data needsRetail, marketing, finance, and smaller organizations focusing on data reporting

While both roles analyze data, Senior Computer Data Scientists focus on building advanced models and algorithms, requiring deeper technical expertise. Data Analysts primarily interpret and visualize data for business insights. The roles often overlap in data handling but differ in complexity and technical depth.

How much does a senior data scientist earn?

A senior data scientist typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, programming, and data analysis tools can influence salary levels.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or models to improve efficiency and outcomes.
What cities in Ohio are hiring for Senior Computer Data Scientist jobs? Cities in Ohio with the most Senior Computer Data Scientist job openings:
Infographic showing various Senior Computer Data Scientist job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 12% Part Time, and 9% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

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.

Hear about it first! Get job alerts by email. Log in to your Candidate Home Account today! If you don't have an account, you can create one.

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.