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Evening Machine Learning R Jobs in Chicago, IL (NOW HIRING)

... R being advantageous. Hands on experience working in Azure Cloud Services, ADLS, ADF, Databricks ... Experience in applying machine learning models within an investing context, with familiarity in ...

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and ... Highly proficient with two or more languages, such as Python, PySpark, R, SQL, etc., and tools like ...

Set-up and operate machine to meet product requirements * Troubleshoot equipment and product issues ... Standing up to 12 hours per day on a rotating day or evening shift, up to 5 days/week * Occasional ...

Strong proficiency in SQL, Python, and R * Experience with Power BI, Tableau, or similar ... Experience with machine learning frameworks such as scikit-learn, TensorFlow, or Keras * Experience ...

Coding experience in Python or R programming languages with interest in learning additional languages * Experience applying machine learning techniques such as clustering, time series analysis ...

Transportation Data Scientist

Downers Grove, IL · On-site

$74.42K - $139.53K/yr

Builds and validates predictive models using statistical and machine learning techniques ... Experience with programming languages such as Python, R or SQL. * Experience with data analytics ...

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Evening Machine Learning R information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

How much do evening machine learning r jobs pay per year?

As of May 30, 2026, the average yearly pay for evening machine learning r in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Machine Learning R jobs in Chicago, IL? The most popular types of Machine Learning R jobs in Chicago, IL are:
Infographic showing various Evening Machine Learning R job openings in Chicago, IL as of May 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $43,867 per year, or $21.1 per hour.

Full-time

Posted yesterday


Job description

Overview:
Skills Required:
8+ years of relevant experience as a hands-on quantitative investment professional, with a track record of developing predictive alpha models in fixed income markets.
Masters, or PhD in a technical or quantitative discipline (e.g., statistics, mathematics, physics, electrical engineering, computer science, applied economics, or finance).
  • Systematic Fixed Income investing experience a plus.
  • Proficiency in at least one programming language, ideally Python, with additional experience in PySpark, SAS , MATLAB, or R being advantageous.
  • Hands on experience working in Azure Cloud Services, ADLS, ADF, Databricks will be very helpful.
  • Strong knowledge of asset pricing, factor anomaly literature, and the application of sustainability data within an investing context.
  • Expertise across the entire quantitative investment lifecycle, including alpha research, risk management, portfolio management, trade execution, and the application of technology.
  • Experience in applying machine learning models within an investing context, with familiarity in alternative data as an advantage.
  • Ability to think independently, creatively approach data analysis, and clearly communicate complex ideas.

Mandatory skills
Data Science
PySpark
Azure DataFactory
Azure Databricks
Secondary skills:
Asset Management