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Temporary Data Scientist Machine Learning Jobs in Chicago, IL

Ulta Beauty

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by ...

Braze

Forward-Deployed Data Scientist II

Chicago, IL · Hybrid

$98K - $164K/yr

Experience: 3-5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing ...

Addison Group

Sr. Data Scientist

Chicago, IL · On-site

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

Addison Group

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

Amgen

CD&A Data Scientist

Deerfield, IL · On-site

Using and developing data science, machine learning, and artificial intelligence capabilities across Amgen's commercial organization. * Transforming business, medical, or scientific questions into ...

The Hartford

Data Scientist

Chicago, IL · On-site +1

$90K - $135K/yr

We seek candidates with a strong foundation in statistical modeling and/or machine learning who have a drive for finding novel and efficient solutions to maximize business value.As a data scientist ...

Braze

Forward-Deployed Data Scientist II

Chicago, IL · On-site

$98K - $164K/yr

Experience: 3-5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing ...

Compunnel

Senior Data Scientist

Chicago, IL · On-site

Job Summary The Senior Data Scientist will design, develop, and implement advanced machine learning ... The ideal candidate will have expertise in machine learning, operations research, predictive ...

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All JobsTemporary Data Scientist Machine Learning JobsTemporary Data Scientist Machine Learning Jobs in Chicago, IL

Temporary Data Scientist Machine Learning information

See Chicago, IL salary details

$38.6K

$126.4K

$202.4K

How much do temporary data scientist machine learning jobs pay per year?

As of Jun 15, 2026, the average yearly pay for temporary data scientist machine learning in Chicago, IL is $126,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,100.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What does a Temporary Data Scientist specializing in Machine Learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a Temporary Data Scientist Machine Learning, and why are they important?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary Data Scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Chicago, IL? The most popular types of Data Scientist Machine Learning jobs in Chicago, IL are:
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Chicago, IL? For Temporary Data Scientist Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Temporary Data Scientist Machine Learning jobs in Chicago, IL look for? The top searched job categories for Temporary Data Scientist Machine Learning jobs in Chicago, IL are:
Temporary Data Scientist Machine Learning jobs near you
Data Scientist - Machine Learning

Data Scientist - Machine Learning

United Airlines, Inc.

Chicago, IL • On-site

Full-time

Posted 27 days ago

United Airlines rating

7.8

Company rating: 7.8 out of 10

Based on 332 frontline employees who took The Breakroom Quiz

9th of 26 rated airlines

Job description

Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities:
Provides mathematical modeling and analysis services to support critical financial, operational, and/or strategic planning decisions and engages in supporting project teams in value added activities that generate practical solutions to complex business problems, explores new business alternatives, and drives improvement in business decisions
  • Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using machine learning, statistical, and structured programming languages
  • Identifies, researches, or solves large complex problems using big data and machine learning principles
  • Leverages understanding of the business process to identify and implement predictive and prescriptive solutions that will result in significant bottom-line contributions
  • Builds and develops machine learning model applications, and provides client support leveraging machine learning knowledge
  • Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups
  • Raises concerns when scope of analysis may not align with time available and can choose an appropriate scope of analysis to conduct balancing ROI to time available
  • Designs analytic plan/develop hypotheses to test; understands limitations of analysis (what it can and cannot be used for)
  • Anticipates working team questions to data and approach
  • Identifies solution quality risks and on-time risks
  • Understands the business value, process, and expectations before focusing on choice of a technical solution
  • Understands the intuition behind the numbers (i.e. does it make sense?)
  • Provides on-going analytical services to client organizations
  • Communicates results to management and clients
  • Contributes deck content and builds the story for the deck with guidance to summarize findings
  • Develops and delivers presentations aligned with Analytics & Innovation team standards
  • Speaks in a manner appropriate for working team and their level +1
  • Keeps informed about the latest analytical methods and research in machine learning, data science, and other analytics fields
  • Research and socialize tools and techniques in data science, ensuring best practices are applied at United

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Master's degree in quantitative field (machine learning, data science, statistics, engineering, etc.)
  • Coursework or work experience with mathematical programming techniques
  • Coursework or work experience implementing supervised machine learning to real-world tabular data use cases
  • Hands-on experience with ML and statistical modeling in applied projects
  • Strong Python software engineering skills with a focus on object-oriented programming and GitHub usage
  • Proficiency in SQL for analytical tasks and data manipulation
  • Ability to identify high-value opportunities and efficiently apply data science techniques to drive business impact
  • Strong ownership mindset, with the ability to work independently and collaborate across teams, including with SMEs and stakeholders, without direct supervision
  • Demonstrated intellectual curiosity, with a proactive approach to solving complex problems and a willingness to navigate ambiguity
  • Excellent oral and written communication skills, with the ability to clearly explain algorithms, modeling techniques, and data-driven insights to diverse audiences
  • Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment
  • Good interpersonal skills and ability to interact with clients
  • Proficient with MS Office
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualifications
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • Supervised computer vision (object detection) & NLP
  • Signal processing & machine learning applied to sensor data
  • Causal ML (DML, DR, etc.)
  • Probabilistic programming (Pyro, PyMC, Stan, etc.) and Bayesian modeling
  • AWS cloud stack experience
  • PySpark
  • Docker
  • Generative AI
  • Demonstrated ability to create business value

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media

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