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Contractual Full Stack Data Scientist Jobs in Chicago, IL

SynergisticIT

Data Scientist - Junior

Chicago, IL · On-site

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

JConnect Infotech

Full Stack developer

Chicago, IL · On-site

Full Stack Developer Location: New York City, NY or Chicago, IL or Dallas, TX Duration: Fulltime ... Work with data scientists and analysts to improve software Generic Managerial Skills, If any

SynergisticIT

Junior Data Scientist

Chicago, IL · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

University of Chicago

Full Stack Engineer

Chicago, IL · On-site

Senior Full Stack Engineer The TMW Center for Early Learning + Public Health (TMW Center) develops ... Advanced Degree in data science, data analytics, computer science, software engineering or related ...

Next Step Systems

Full Stack Developer

Chicago, IL · On-site

Full Stack Developer, Chicago, IL Hiring a Full Stack Developer now! Urgent need! Looking for ... Computer science or equivalent experience. - Advanced knowledge of application, data and ...

University of Chicago

Full Stack Developer

Chicago, IL · Hybrid

This is a full-stack engineering role focused on building production-quality cloud services that ... S. cross-agency data and AI for Science initiatives. The candidate will also collaborate with ...

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Contractual Full Stack Data Scientist information

See Chicago, IL salary details

$47.4K

$170K

$250.8K

How much do contractual full stack data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for contractual full stack data scientist in Chicago, IL is $169,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $175,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contractual Full Stack Data Scientist, and why are they important?

To thrive as a Contractual Full Stack Data Scientist, you need strong expertise in statistics, machine learning, data analysis, and software engineering, typically supported by a relevant degree and a portfolio of completed projects. Familiarity with programming languages such as Python or R, cloud platforms like AWS or Azure, and tools such as TensorFlow, SQL, and version control systems is essential. Excellent problem-solving, communication, and time management skills help you adapt quickly to varied client needs and collaborate effectively with cross-functional teams. These skills ensure the ability to deliver end-to-end data solutions that drive business value within project deadlines.

What are some common challenges faced by contractual full stack data scientists, and how can they be addressed?

Contractual full stack data scientists often face challenges such as adapting quickly to new teams and business domains, managing time constraints, and ensuring seamless handover of work at project completion. Since these roles typically involve both backend and frontend tasks, balancing diverse technical responsibilities while aligning with client expectations can be demanding. To address these challenges, it’s helpful to establish clear communication channels, document work thoroughly, and set realistic deliverables early in the contract. Proactively engaging with stakeholders and being flexible with new tools or workflows also support successful project outcomes.

What are Contractual Full Stack Data Scientists?

Contractual Full Stack Data Scientists are professionals hired on a contract basis to manage the end-to-end data science workflow for an organization. They are skilled in both frontend and backend development, as well as data engineering, data analysis, and machine learning. Their responsibilities often include collecting, processing, and analyzing data, developing predictive models, and deploying solutions into production environments. Unlike permanent employees, they typically work on specific projects or for a set period, offering flexibility to both the employer and the professional.

What is the difference between Contractual Full Stack Data Scientist vs Contractual Data Engineer?

AspectContractual Full Stack Data ScientistContractual Data Engineer
CredentialsDegree in Data Science, Computer Science, or related field; certifications in data analysis or machine learningDegree in Computer Engineering, Software Engineering, or related; certifications in cloud platforms or data pipeline tools
Work EnvironmentCollaborates with data analysts, machine learning engineers, and business teams on modeling and insightsFocuses on building, maintaining, and optimizing data pipelines and infrastructure
Industry UsageUsed across industries for data analysis, predictive modeling, and business insightsPrimarily in tech, finance, and e-commerce for data infrastructure and ETL processes

The Contractual Full Stack Data Scientist combines data analysis, modeling, and software skills to deliver insights and solutions, while the Contractual Data Engineer specializes in building and maintaining data infrastructure. Both roles are essential in data-driven organizations but focus on different aspects of the data lifecycle.

What are the most commonly searched types of Full Stack Data Scientist jobs in Chicago, IL? The most popular types of Full Stack Data Scientist jobs in Chicago, IL are:
What are popular job titles related to Contractual Full Stack Data Scientist jobs in Chicago, IL? For Contractual Full Stack Data Scientist jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Contractual Full Stack Data Scientist jobs in Chicago, IL look for? The top searched job categories for Contractual Full Stack Data Scientist jobs in Chicago, IL are:
Contractual Full Stack Data Scientist jobs near you
Infographic showing various Contractual Full Stack Data Scientist job openings in Chicago, IL as of May 2026, with employment types broken down into 86% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 2% Nights. Highlights an 100% Physical job distribution, with an average salary of $169,993 per year, or $81.7 per hour.