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Temporary Machine Learning R Jobs in Chicago, IL

Uber Freight

Applied Scientist III

Chicago, IL · On-site

Bachelor's degree in Statistics, Machine Learning, Operations Research, Economics, Computer Science ... Demonstrated proficiency in programming languages like Python or R for purposes of model ...

Uber Freight

Applied Scientist III

Chicago, IL · On-site +1

Bachelor's degree in Statistics, Machine Learning, Operations Research, Economics, Computer Science ... Demonstrated proficiency in programming languages like Python or R for purposes of model ...

Deloitte

Data Scientist

Chicago, IL · On-site

... or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ...

Uber Freight

Data Scientist III

Chicago, IL · On-site

Perform exploratory data analysis, statistical analysis, and machine learning model development in ... Knowledge of R or Java * Advanced knowledge of experiment design and statistical methods * Strong ...

Uber Freight

Data Scientist III

Chicago, IL · Hybrid

Perform exploratory data analysis, statistical analysis, and machine learning model development in ... Knowledge of R or Java * Advanced knowledge of experiment design and statistical methods * Strong ...

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All JobsTemporary Machine Learning R JobsTemporary Machine Learning R Jobs in Chicago, IL

Temporary Machine Learning R information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

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

As of Jun 20, 2026, the average yearly pay for temporary 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 is the difference between Temporary Machine Learning R vs Data Analyst?

AspectTemporary Machine Learning RData Analyst
Required SkillsProficiency in R, machine learning algorithms, statistical modelingData visualization, SQL, basic statistical analysis
Work EnvironmentProject-based, technical teams, research-focusedBusiness units, reporting, data cleaning
CertificationsR programming, data science certificationsNone specific, often business or analytics certifications

Temporary Machine Learning R roles focus on developing predictive models using R and machine learning techniques, often in research or technical environments. Data Analysts typically handle data cleaning, visualization, and reporting for business insights. While both roles require analytical skills, Temporary Machine Learning R positions demand specialized knowledge in machine learning and R programming, making them more technical and research-oriented.

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:
What are popular job titles related to Temporary Machine Learning R jobs in Chicago, IL? For Temporary Machine Learning R jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning R jobs in Chicago, IL look for? The top searched job categories for Temporary Machine Learning R jobs in Chicago, IL are:
Temporary Machine Learning R jobs near you
Applied Scientist III

Applied Scientist III

Uber Freight

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago

Uber Freight rating

7.4

Company rating: 7.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

Schedule: Full Time Employment
Job Type: Hybrid
Salary Type: Salary
Req #: 2520
About the Role
As an Applied Scientist III at Uber Freight, you will develop and implement advanced statistical, economic, machine learning, and optimization approaches to solve complex business problems and improve performance. You will apply modeling skills and data-driven methods to enhance our core product experience and top line business metrics. You'll collaborate closely with Product, Operations, and Engineering teams to turn insights into impact.
What the Candidate Will Do
  • Develop creative solutions and build prototypes to business problems using algorithms based on causal inference, statistics, machine learning, and optimization.
  • Collaborate with engineering and product teams to productionize these solutions and create a lasting impact.
  • Drive clarity and solve ambiguous, challenging business problems using data-driven approaches, with an emphasis on understanding causal relationships when applicable.
  • Propose and guide robust frameworks of data analysis to drive business insights and inform decision-making.
  • Contribute to establishing standard methodologies for data science, including modeling, coding, analytics, and experimentation.
  • Leverage data to understand product performance and identify improvement opportunities, including analyzing potential causal factors.
  • Design product experiments and interpret results to draw detailed and impactful conclusions.
  • Communicate findings and insights to senior management and cross-functional teams.
  • Provide recommendations to assist quick product ideation and feature launch decisions.
  • Build intelligent data-driven products to provide the best user experience.

Basic Qualifications
  • Bachelor's degree in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or another related field
  • 3 years of related experience
  • Expertise in observational causal inference, econometric, and statistical models
  • Demonstrated proficiency in programming languages like Python or R for purposes of model development and analysis
  • Proficiency in SQL for data manipulation and analysis
  • Proficiency in building and managing data pipelines for purposes of model development or analysis

Preferred Qualifications
  • Master's or Ph.D. in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or a related field
  • Expertise in time series analysis and forecasting
  • Experience working on pricing algorithms in a production environment
  • Proficiency in designing, launching, and analyzing A/B tests or other types of online experiments

Benefits & Compensation for U.S. Employees
Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more. US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.
About Uber Freight
Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real-time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at www.uberfreight.com.
Candidate Privacy Notice
Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.
EEOC
Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
For Chicago-based roles: The salary range for this role is $124,000.00 - $152,000.00 per year

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