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Python R Developer Jobs in Chicago, IL (NOW HIRING)

Strong quantitative and programming skills with experience in Python, R, and SQL (Python preferred). * Experience with written documentation of projects. * Strong background in index mathematics ...

Experience with programming in Python, R or Matlab is a plus. * Strong Options knowledge including an understanding of the Greeks * Ability to work successfully in a fast-moving and competitive ...

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Python, R, SQL, Tableau and Power BI. * Cloud environments including: AWS, Azure, and GCP Data Lake ... and wellness programing. DJEH is proud to be an equal opportunity employer and believes in ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and ...

Data Scientist

Chicago, IL · On-site

$139K - $144K/yr

Python, R, SQL, Tableau and Power BI. * Cloud environments including: AWS, Azure, and GCP Data Lake ... and wellness programing. DJEH is proud to be an equal opportunity employer and believes in ...

Work independently with large, structured and semistructured datasets using SQL and analytical programming languages (e.g., Python or R) * Establish and uphold high standards for data quality ...

Showing results 41-60

Python R Developer information

See Chicago, IL salary details

$13

$60

$88

How much do python r developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python r developer in Chicago, IL is $60.39, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.61 per hour, depending on experience, location, and employer.

What is a Python R developer?

Python R Developers are professionals skilled in both the Python and R programming languages, primarily working in data science, analytics, and statistical computing. They leverage the strengths of both languages to process, analyze, and visualize complex data sets. These developers often work in environments where integrating machine learning, statistical modeling, and data engineering is required, and they may build tools or pipelines that utilize both Python and R. Proficiency in both languages allows them to select the best tools and libraries for specific tasks, increasing the efficiency and accuracy of data-driven projects.

What skills and qualifications are needed to thrive as a Python R developer?

To thrive as a Python R Developer, you need strong programming skills in both Python and R, a solid foundation in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (like pandas, NumPy, dplyr), data visualization tools, and version control systems (such as Git) is typically required, along with experience using Jupyter Notebooks or RStudio. Effective problem-solving, communication, and the ability to collaborate with interdisciplinary teams are valuable soft skills. These skills ensure robust data solutions, clear reporting, and efficient teamwork in data-driven environments.

How do Python R developers typically collaborate with data scientists and analysts in a project team?

Python R Developers often work closely with data scientists and analysts to design, implement, and optimize data processing workflows. They translate analytical requirements into robust, scalable code, ensuring that models and analyses can be efficiently run in both Python and R environments. Collaboration usually involves frequent code reviews, sharing best practices for interoperability, and integrating tools such as Jupyter Notebooks or RMarkdown for seamless reporting. This teamwork fosters knowledge sharing and helps deliver accurate, reproducible results aligned with project goals.

What is the difference between Python R Developer vs Data Analyst?

AspectPython R DeveloperData Analyst
Required SkillsProficiency in Python and R programming, data manipulation, statistical analysisData interpretation, basic statistical skills, Excel, SQL
Work EnvironmentData science teams, software development projectsBusiness intelligence, reporting, data visualization
Common Industry UsageTech, finance, healthcare, researchMarketing, finance, operations, retail

Python R Developers focus on building data models and algorithms using Python and R, often in technical or research settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Python R Developers typically have stronger programming expertise, whereas Data Analysts excel in data visualization and reporting.

Infographic showing various Python R Developer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $125,608 per year, or $60.4 per hour.

Quantitative Trading Intern

Chicago, IL • On-site

$175K - $275K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

What You'll Do

Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump's Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas.

Skills You'll Need
  • Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
  • Proven success with profitable trading strategies - Strong programming skills in C++ in a Linux environment
  • Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines
  • Strong experience developing statistical models in a trading environment - Proven success working with large data sets and developing statistical models - Fascinated and interested in advancing machine learning within the trading community
  • Possess strong familiarity with Python, R or Matlab along with development skills to support research efforts
  • Masters or PhD in Statistics, Physics, Mathematics (or related subject)
  • Desire to work within a collaborative, team-driven environment
  • Reliable and predictable availability
  • Excellent written and spoken English communication skills
Benefits
  • Discretionary bonus eligibility
  • Medical, dental, and vision insurance
  • HSA, FSA, and Dependent Care options
  • Employer Paid Group Term Life and AD&D Insurance
  • Voluntary Life & AD&D insurance
  • Paid vacation plus paid holidays
  • Retirement plan with employer match
  • Paid parental leave
  • Wellness Programs

Annual Base Salary Range: $175,000—$275,000 USD

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