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Entry Level Economics Data Science Jobs (NOW HIRING)

The Research Data Science team builds innovative solutions for iSpot's audience measures ... Qualifications and Education Requirements: • Progress toward a degree in mathematics, economics ...

The Research Data Science team builds innovative solutions for iSpot's audience measures ... Qualifications and Education Requirements: ● Progress toward a degree in mathematics, economics ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

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Entry Level Economics Data Science information

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$13

$32

$61

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

As of Jul 11, 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.

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:

Data Science Intern

iSpot

Bellevue, WA • On-site

$35/hr

Full-time, Part-time, Internship

Re-posted yesterday


Job description

Immigration / Work Authorization Notice:Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.
iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.
What You'll Be Part Of
An iSpot Research Data Science Intern is a great opportunity to help iSpot push the boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions for iSpot's audience measures, attribution and lift analytics, creative testing, and artificial intelligence implementations. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.
Potential Responsibilities:
• Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.
• Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.
• Data Pipeline Development: Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.
• Research and Innovation: Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.
Qualifications and Education Requirements:
• Progress toward a degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline.
• Relevant work experience is preferred.
Preferred Skills:
• Technical understanding of machine learning, statistics, data science, and related fields
• Proficient user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to learn new tools as needed
• Expert at wrangling data and conducting thorough data analyses
• Pragmatic, team-oriented; builds rapport and respect
• Strong communication, writing, and critical thinking skills; attention to detail
Target cash compensation range: $35.00USD/hour
We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.
For more information on total rewards package, go HERE
Hybrid & Flexible Workplace Policy
iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.
Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.
#LI-Hybrid
If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!
iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.
California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.