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Economics Data Science Jobs in Chicago, IL (NOW HIRING)

Socket.dev

Architect, Data Science

Chicago, IL · On-site

$155 - $190/hr

S. in Computer Science, Engineering, Economics, or a related quantitative field. * 7+ years of experience in Data Science & AI/ML, including large‑scale solution deployments. * 4+ years in a ...

UNAVAILABLE

Associate Director, Data Science

Chicago, IL · On-site

$112 - $161/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field or Master's degree preferred. * 7+ years of experience in data science ...

New

Socket.dev

Associate Director, Data Science

Chicago, IL · On-site

$112 - $161/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field or Master's degree preferred. * 7+ years of experience in data science ...

New

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Showing results 1-20

All JobsEconomics Data Science JobsEconomics Data Science Jobs in Chicago, IL

Economics Data Science information

See Chicago, IL salary details

$42.8K

$146.8K

$207.1K

How much do economics data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for economics data science in Chicago, IL is $146,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,100.00 and $171,500.00 per year, depending on experience, location, and employer.

What is an economics data science?

An Economics Data Science job combines economic theory, statistical analysis, and machine learning to interpret complex data and inform decision-making. Professionals in this field work with large datasets to analyze market trends, forecast economic conditions, and optimize business strategies. They commonly use programming languages like Python or R and tools such as SQL and econometric models. This role is valuable in industries like finance, government, and tech, where data-driven economic insights are crucial.

What are common projects or responsibilities for professionals in economics data science roles?

Economics Data Science professionals often work on projects that involve economic modeling, market analysis, and forecasting trends using large datasets. Typical responsibilities include gathering and cleaning economic data, developing predictive models, conducting statistical analyses, and translating results into actionable recommendations for business strategy or policy decisions. You may collaborate closely with economists, business analysts, and decision-makers to inform company direction or solve complex real-world problems. This role often involves a mix of independent data exploration and teamwork, offering opportunities to drive impactful results and shape organizational strategy.

What are the key skills and qualifications needed to thrive in economics data science, and why are they important?

To thrive in Economics Data Science, you need a strong background in economics, statistics, and programming (especially Python or R), often backed by a degree in economics, data science, or a related field. Proficiency with data analysis tools such as SQL, machine learning frameworks, and visualization software like Tableau is commonly required, and certifications in data science or analytics are advantageous. Excellent problem-solving abilities, communication skills, and a collaborative mindset help distinguish top performers in this position. These skills are crucial for effectively analyzing economic data, generating actionable insights, and conveying complex findings to both technical and non-technical stakeholders.

What are the most commonly searched types of Economics Data Science jobs in Chicago, IL?

The most popular types of Economics Data Science jobs in Chicago, IL are:

What are popular job titles related to Economics Data Science jobs in Chicago, IL?

For Economics Data Science jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Economics Data Science jobs in Chicago, IL look for?

The top searched job categories for Economics Data Science jobs in Chicago, IL are:

Economics Data Science jobs near you
Infographic showing various Economics Data Science job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $146,755 per year, or $70.6 per hour.

Senior Manager, Data Science (Retail Marketing)

Walgreens

Deerfield, IL • On-site

$136K - $231K/yr

Full-time

Re-posted 5 days ago

Walgreens rating

5.5

Company rating: 5.5 out of 10

Based on 2,203 frontline employees who took The Breakroom Quiz

98th of 112 rated pharmacies

Job description


Job Summary
The Senior Manager Data Science - Marketing leads unified marketing measurement across Marketing, Loyalty, and CRM, helping teams understand and optimize the incremental impact of marketing investments. This role oversees a team of data scientists responsible for marketing mix modeling, attribution, incremental lift analysis, experimentation, campaign and creative measurement, and audience-level analytics. The Senior Manager integrates large, complex datasets and translates advanced analyses into clear, actionable recommendations that improve customer engagement, optimize marketing effectiveness, accelerate growth, and strengthen loyalty. As a strategic partner to cross-functional leaders and senior executives, this role shapes measurement strategy, influences investment decisions, and builds scalable analytical capabilities across the organization.
Job Responsibilities
  • Provides management and guidance to multiple groups of data scientists and data analysts to implement the companies data science strategy.
  • Manages efforts of others in the achievement of the strategic and operational objectives. Leads the area to ensure performance standards and all goals and objectives are met in a timely and organized fashion.
  • Manages complex data gathering and integrating large volumes of data, performing analysis, interpreting results and developing actionable insights and recommendations for use across the company. Research techniques may include statistical modeling, visualization, machine learning, and data mining.
  • Makes recommendations regarding the operating plans for specified area, then, based on prevailing conditions may realign the daily operations.
  • Plans and structures work activities for teams and monitors progress and results. May develop briefs for outside vendors and manages their relationship.
  • Provides guidance and supervision to teams as they carry out work activities. Recruits and develops staff within area of responsibility in accordance with policy. May manage vendors engaged in big data analysis.
  • Influences individuals within and outside the department. Prepares and presents reports to all levels of leadership and staff.
  • May develop budget for functional area. Manages budget to plan and is responsible for meeting delivering against budgetary goals and objectives.
  • Stays abreast of industry leading best practices and brings them to the attention of the leadership team for innovative application.
  • Develops and leverages partnerships (and relationships) with internal and external stakeholders to meet business needs.
  • Oversees and manages managers, supervisors and individual contributors. Allocates available resources to meet operating objectives. Ensures the ongoing training and development of direct reports.
  • Develops and mentors staff through onboarding, open communication, training and development opportunities and performance management processes builds and maintains employee morale and motivation ensures the team is appropriately staffed with required competencies fosters a diverse and inclusive workplace.
About Walgreens
Founded in 1901, Walgreens (www.walgreens.com) proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for pharmacy, retail and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.
#LI-TO1
#LI-Hybrid
External Basic Qualifications
  • Master's degree in statistics, data science, mathematics, economics OR a quantitative, computational or technical discipline AND at least 4 years of post-graduate professional work experience in a statistical function.
  • Experience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences.
  • Deep knowledge of SQL
  • Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc.
  • Experience with Analytics Strategy development.
  • Experience interacting at the executive level
  • Experience leading cross functional teams.
  • Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to develop strategies that meet department goals within budget and timelines.
  • At least 2 years of experience contributing to financial decisions in the workplace
  • At least 3 years of direct leadership, indirect leadership or cross functional team leadership
  • Willing to travel up to 10 percent of the time for business purposes (within state and out of state).

Preferred Qualifications
  • Graduate degree in statistics, economics, data science, applied mathematics, computer science, or a related quantitative discipline.
  • Experience leading marketing analytics, measurement, or data science teams.
  • Expertise in marketing mix modeling, attribution, experimentation, causal inference, and incremental lift analysis.
  • Experience measuring CRM, loyalty, audience, campaign, content, and creative performance.
  • Experience partnering with external media agencies, measurement providers, and marketing technology vendors to deliver insights and improve marketing effectiveness.
  • Proficiency with analytical tools and languages such as Python, R, SQL, and cloud-based data platforms.
We will consider employment of qualified applicants with arrest and conviction records.
The Salary below is being provided to promote pay transparency and equal employment opportunities at Walgreens. The actual hourly salary within this range that you will be offered will depend on a variety of factors including geography, skills and abilities, education, experience and other relevant factors. This role will remain open until filled. To review benefits, please click here jobs.walgreens.com/benefits. If you are applying on a job board or unable to click on the link, please copy and paste this URL into your browser jobs.walgreens.com/benefits

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