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Entry Level Economics Data Science Jobs (NOW HIRING)

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Data Science Analyst

Manhattan, NY · On-site

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Our Data Science team builds and maintains the algorithmic systems - spanning search ... Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific ...

Data Science Engineer

San Jose, CA

$134K - $161K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Degree ina quantitative fieldlike statistics, economics, applied math, operations research or ...

Data Science Engineer

Seattle, WA

$130K - $156K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Degree ina quantitative fieldlike statistics, economics, applied math, operations research or ...

Data Science Engineer

Lehi, UT

$107K - $129K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Degree ina quantitative fieldlike statistics, economics, applied math, operations research or ...

Data Science Engineer

San Francisco, CA

$134K - $162K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Degree ina quantitative fieldlike statistics, economics, applied math, operations research or ...

Showing results 41-60

Entry Level Economics Data Science information

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$32

$61

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

As of Aug 21, 2026, the average hourly pay for entry level economics data science in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 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 cities are hiring for Entry Level Economics Data Science jobs?

Cities with the most Entry Level 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:

Manager, Data Science & Modeling

Cardworks

South Jordan, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


CardWorks rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

1st of 21 rated payment service providers


Job description

Join our team and build your career with momentum as we champion your growth, elevate your ideas and engage you in purpose-driven work that makes a real difference every day.


Who we are

Founded in 1997, Merrick Bank is an FDIC-insured financial institution headquartered in South Jordan, Utah, with over $10 billion in assets. A wholly owned subsidiary of CardWorks Financial Group, Merrick Bank serves roughly five million cardmembers and more than 100,000 merchant customers nationwide.


What we do

We provide credit cards, recreational loans, deposit accounts, merchant services and bank sponsorships to consumers and businesses. As a leader in non-prime lending and merchant acquiring, we combine innovative technology with data-driven insights to help underserved consumers build and strengthen credit while delivering integrated, scalable payment solutions for businesses.

Merrick Bank ranks among the top 20 FDIC-insured credit card issuers in the U.S. and among the top 15 merchant acquirers by transaction volume.


Data Scientists build and maintain machine learning and statistical models that address key business challenges across the bank. The role involves framing business problems mathematically and applying advanced analytical techniques to generate solutions.

Data Science is a technical discipline requiring strong skills in software engineering, statistics, and modern data infrastructure.

Essential Functions:

  • Develop and sustain predictive modeling solutions across Credit Risk, Balance/Revenue forecasting, Direct Mail Response, and accountlevel valuation domains.
  • Provide endtoend ownership of the model development lifecycle, including problem framing, conceptual design, data analysis, model construction, validation, documentation, deployment, and user enablement.
  • Administer a rigorous model monitoring framework to ensure models remain accurate, stable, and refreshed at appropriate intervals. Investigate performance issues, identify root causes, and recommend appropriate corrective actions when models do not perform as expected.
  • Communicate insights and recommendations to senior leadership and contribute to strategic business planning.
  • Proactively develop additional ad hoc reporting and data visualizations to support modeling initiatives and decisionmaking.
  • Serve as subject matter expert for the model attributes and performance, influencing strategy and providing ongoing support.
  • Offer statistical guidance in the design of experiments aimed at optimizing Product, Marketing, and Credit strategies.

Compliance with Laws and Regulations

  • Responsible for complying with all of the Bank's internal control policies and procedures.
  • Responsible for understanding and complying with all laws and regulations to which the Bank is subject.
  • Responsible for communicating problems in operations, noncompliance with the code of conduct, noncompliance with laws and regulations, policy violations, or illegal acts.

Additional Responsibilities

  • Perform other duties as assigned by senior management.
  • Maintain ethical standards, judgment, and confidentiality in all matters.

Requirements for Success:

Education & Experience:

  • Bachelor's degree in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math, Economics, Engineering or Sciences) is required.
  • Advance Degree (Master's or PhD) in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math, Economics, Engineering or Sciences) is preferred.
  • Three (3) years of hands-on experience with a bachelor's degree, or two (2) year's hands-on experience with a master's degree, in quantitative fields (same as above).


Knowledge, Skills and Capabilities:

  • Profound expertise with SQL and at least one scripting language such as Python, R, or Shell.
  • Proficiency with Microsoft Office tools including Excel, Word and PowerPoint.
  • Strong verbal, written, and interpersonal communication skills.
  • Proven ability to collaborate effectively within crossfunctional teams.
  • Ability to navigate ambiguity and work handson with complex business and technical challenges.
  • Strength in problem-solving, critical thinking, teamwork, attention to detail, and organization.
  • High curiosity and learning agility, with a strong sense of initiative and a willingness to roll up one's sleeves.

#INDHP1


Why join us

We believe in putting people first by supporting our customers, employees and our partners while creating opportunities for everyone to reach their potential. From fostering work-life balance to rewarding good work and innovative ideas, we invest in what matters most, our people.

At Merrick Bank, you'll be part of a collaborative, customer-focused team where you can grow your career while making a meaningful impact.


Our Employee Value Proposition

  • Competitive Pay, including a Bonus Target or Variable Pay Incentive Program
  • Benefits Package -Medical, Dental, and Vision (plus much more)
  • 401(k) Plan with Company Match
  • Short- & Long-Term Disability
  • Wellness Programs
  • Group Life and AD&D Insurance
  • Paid Vacation, Sick Days and bank Holidays
  • Employee Engagement Activities including Employee Appreciation Day, DEI Employee Resource Groups, Corporate Social Responsibility, Service Recognition

We offer a total rewards package comprised of a competitive base rate of pay, variable pay incentive programs based on the role, and a comprehensive benefit suite. Offered rates of pay are determined based on job-related knowledge, relevant experience, skills, certifications, and geographic location.


We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to age, race, color, sex, or gender identity/expression (including pregnancy, childbirth, transgender status, or sexual orientation), religion or creed, ancestry, citizenship, national origin, disability, military or veteran status, marital status, genetic information, or any other characteristic protected by applicable law.

We do not tolerate discrimination, harassment, or retaliation. Employment decisions are based solely on qualifications, merit, and business needs. Everyone is welcome here, and we hire based on your ability to do the job, not any protected characteristics.

If you need help or reasonable accommodation during the application or hiring process, please let your TA Partner know.


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