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Entry Level Economics Data Science Jobs in Dallas, TX

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

Entry Level Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Job Title: Entry Level Data Engineer Location: Dallas, TX Job Type: Only W2 We are looking for an ... Collaborate with Data Analysts, Data Scientists, Software Engineers, and other stakeholders.

Lead Data Scientist

Frisco, TX · 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 ...

MS/ PhD in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field By providing your phone number, you consent to: (1) receive automated text ...

Data Scientist II - AMZ27596.1

Irving, TX · On-site

$141K - $184K/yr

... Mathematics, Economics, Engineering, Computer Science, or a related field and one year of ... data migration; and (3) applying specialized modelling software including R, Python, or MATLAB ...

Mathematics, Statistics, CS, Physics, MIS, Economics, Electrical Engineering, etc. * 2+ years' experience in a data science/ predictive analytics environment preferred. * Self-directed and able to ...

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Entry Level Economics Data Science information

See Dallas, TX salary details

$13

$32

$61

How much do entry level economics data science jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for entry level economics data science in Dallas, TX is $32.57, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $36.39 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Economics Data Science vs Entry Level Data Analyst?

AspectEntry Level Economics Data ScienceEntry Level Data Analyst
Required CredentialsBachelor's in Economics, Data Science, or related field; knowledge of programming (Python, R)Bachelor's in Statistics, Business, or related field; basic data analysis skills
Work EnvironmentTech companies, finance, consulting; focus on economic modeling and predictive analyticsBusiness, marketing, finance; focus on data reporting and visualization
Employer & Industry UsageUsed in industries requiring economic insights and advanced analyticsCommon across various industries for operational and business insights

While both roles involve data analysis, Entry Level Economics Data Science emphasizes economic modeling and programming skills, often in tech or finance sectors. Entry Level Data Analysts focus more on data reporting and visualization across diverse industries. The choice depends on your interest in economics and programming versus general data reporting.

Can I get into data science with an entry level economics data science degree?

Entry-level economics data science degrees can provide a strong foundation for data science roles, especially when complemented with skills in programming languages like Python or R, and knowledge of statistical analysis. Employers often value practical experience, such as internships or projects, alongside relevant coursework. Certifications in data analysis or machine learning can also enhance job prospects in this field.

What jobs can I get with entry level economics data science?

Entry level economics data science graduates can pursue roles such as data analyst, economic analyst, research assistant, or business analyst. These positions typically require skills in statistical analysis, data visualization, and tools like Excel, SQL, or Python, and often involve working with economic data to support decision-making or policy development.

What are the most commonly searched types of Economics Data Science jobs in Dallas, TX?

The most popular types of Economics Data Science jobs in Dallas, TX are:

Infographic showing various Entry Level Economics Data Science job openings in Dallas, TX as of August 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $67,750 per year, or $32.6 per hour.

Data Scientist

State Farm

Richardson, TX • Hybrid

Full-time

Medical, Dental, Vision, Retirement

Re-posted 15 days ago


State Farm rating

7.3

Company rating: 7.3 out of 10

Based on 1,559 frontline employees who took The Breakroom Quiz

232nd of 311 rated insurance


Job description

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

Office Locations: Bloomington, Atlanta, Dallas, Phoenix

HYBRID:  Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.

Why Join Our Data Science Team?

At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both professionally & analytically. You will strengthen your communication skills through interactions with technical and non-technical business partners. Our data science teams also embrace staying current with the evolving data science landscape. 

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. 


Responsibilities

State Farm's Rating & Underwriting Modeling Team is seeking Data Scientists to support the growing demand for advanced analytic solutions across the organization. We are looking for talented, motivated individuals who will partner with business areas to help drive results for the enterprise via the development and adoption of analytic solutions.

Applicants for this posting will be considered for Data Scientist openings in:

  • Property & Casualty Actuarial & Underwriting Modeling Department (PCM): Develops models that support State Farm’s insurance pricing and underwriting decisions

Data Science at State Farm:

As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. Through this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. Below are some of the tasks you can expect in the typical day of a Data Scientist:

  • Develop and validate advanced analytic models
  • Provide input into and/or build datasets to support model development
  • Collaborate with other team members on scoping solutions and project decision points
  • Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
  • Lead/mentor other Data Scientists, interns, and other technical work teams
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
  • Serve as a peer reviewer to other model development teams
  • Work on complex problems of diverse scopes
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that drives the data science & research agenda
  • Build and maintain a relationship with the open-source community by creating and contributing to open-source data science software initiatives

Qualifications

Requirements:

  • Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with at least one statistical programming language: SAS, R, and/or Python

Other Things We Look For:

  • Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

What You Can Expect:

Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. 


Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $102,000 - $163,000
    • Starting salary will be based on skills, background, and experience
    • High end of the range limited to applicants with significant relevant experience
  • Potential yearly incentive pay up to 15% of base salary


At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

Qualifications:

Requirements:

  • Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with at least one statistical programming language: SAS, R, and/or Python

Other Things We Look For:

  • Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

What You Can Expect:

Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. 

Education:UNAVAILABLEEmployment Type: FULL_TIME

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