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Assistant Economics Data Science Jobs (NOW HIRING)

Data Scientist

Cincinnati, OH · On-site

$120 - $150/hr

Required Qualifications * 3+ years of applied Data Science experience. * Strong experience with causal inference, causal ML, econometrics, or experimentation. * Experience measuring treatment effects ...

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Required Qualifications * 3+ years of applied Data Science experience. * Strong experience with causal inference, causal ML, econometrics, or experimentation. * Experience measuring treatment effects ...

Required Qualifications * 3+ years of applied Data Science experience. * Strong experience with causal inference, causal ML, econometrics, or experimentation. * Experience measuring treatment effects ...

Key Responsibilities * Assist in collecting, cleaning, and preparing datasets for analysis ... Economics * Physics * Or a related quantitative field. #J-18808-Ljbffr

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Data Engineer, PXT Central Science

Seattle, WA · On-site

$130K - $156K/yr

The PXT Central Science team is looking for a Data Engineer ... This individual will join a team of economists and scientists to own and accelerate science and ...

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Assistant Economics Data Science information

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$8

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How much do assistant economics data science jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for assistant economics data science in the United States is $18.95, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $21.15 per hour, depending on experience, location, and employer.

What is the difference between Assistant Economics Data Science vs Data Analyst?

AspectAssistant Economics Data ScienceData Analyst
Required CredentialsBachelor's in Economics, Data Science, or related field; some roles prefer certifications in data analysis or programmingBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools are common
Work EnvironmentResearch-focused, often in economic or policy institutions, government agencies, or consulting firmsBusiness environments, corporate offices, or consulting firms analyzing data to inform decisions
Employer & Industry UsageUsed in economic research, policy analysis, and academiaUsed across industries like finance, marketing, healthcare, and technology

While both roles involve data analysis, Assistant Economics Data Science focuses on economic data and policy research, often requiring economic knowledge. Data Analysts work across various industries analyzing diverse datasets to support business decisions. The roles share skills in data handling and analysis but differ in focus and application.

More about Assistant Economics Data Science jobs

What cities are hiring for Assistant Economics Data Science jobs?

Cities with the most Assistant Economics Data Science job openings:

What are the most commonly searched types of Economics Data Science jobs?

The most popular types of Economics Data Science jobs are:

What states have the most Assistant Economics Data Science jobs?

States with the most job openings for Assistant Economics Data Science jobs include:

Infographic showing various Assistant Economics Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $39,407 per year, or $18.9 per hour.

Data Scientist (Mid-level - Principal)

Aep

Bridgman, MI

$116K - $151K/yr

Full-time

Posted 8 days ago


Job description

Job Posting End Date

08-24-2026

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

Job Summary

Please Note: This position is posted in a range, and an offer will be made based on the candidate's qualifications.
Responsible for conducting intermediate analysis 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. Build reports for management as well as conducts basic hypothesis tests (contextualize basic levels of complexity). Utilizes analytics and statistical software such as SQL, R, Python, Excel, Hadoop, Tableau, SAS, SPSS, and others to perform analysis and interpret data. Create visual dashboards.

Job Description

What You'll Do:

  • Develop moderately complex analytical tools to solve high-value business problems across AEP.
  • Proficiently utilize analytical tools and data management skills to provide actionable business intelligence.
  • Continue building and acquiring business knowledge across the organization and utilize knowledge to perform meaningful analyses.
  • Identify and acquire data pertinent to solving business problems.
  • Develop 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.
  • Perform research to keep abreast of industry practices.
  • Utilize inquiry skills to obtain a clear understanding of business processes and needs.
  • Work with stakeholders to determine value that additional information derived from proper analysis could provide.
  • Collaborate with technology partners to develop data acquisition and data management practices.
  • Develop concise, meaningful written reports and provide oral presentation. Develop reporting dashboards that meet business needs for status, trends, and variances.
  • Collaborate with technology and business units to operationalize meaningful reports and dashboards of industry practices.
  • Consult with business unit partners to identify, prioritize, and develop actionable insights, providing analyses across a variety of core business areas.

What We're Looking For:

Data Scientist, Mid-level/ Salary Grade 7 ($87,633 - $109,544):

Education:

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

Experience:

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

Other Requirements:

  • Experience with analytics packages, such as SAS, R, SPSS.

Data Scientist, Senior/ Salary Grage 8 ($98,993 - $128,689):

Education:

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

Experience:

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

Other Requirements:

  • Experience with analytics packages, such as SAS, R, SPSS.

Data Scientist, Principal/ Salary Grade 9 ($116,255 -$151,132):

Education:

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

Experience:

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

Other Requirements:

  • Proficient and able to direct the use of analytics packages, such as SAS, R, SPSS.
  • Understands database concepts and is able to provide clear direction to staff assigned to manage data for analytics use cases.
  • Established leader working in a collaborative, team-oriented environment.
  • Strong problem solving and critical thinking skills.
  • Excellent oral and written communication skills.

Must establish and maintain a permanent residence within a 45-minute safe drive time to the D.C. Cook Nuclear Power Plant.

What You'll Get:

In addition to competitive compensation, AEP offers a unique comprehensive benefits package that aims to support and enhance the overall well-being of our employees.

The power of AEP comes from our valued team of unique employees...the best in the business! We're proud to be one of the largest electric energy companies in the U.S., powering over 5 million homes and businesses, spanning across 11 states. We're passionate about making an innovative difference in the communities we serve. We're powering the future - today!

American Electric Power (On-site)

$87K - 151K/ Year

#LI-ONSITE

#AEPIM

#AEPCareers

Compensation Data

Compensation Grade:

SP20-007

Compensation Range:

$87,633.00 - $151,132.50

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.