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Temporary Computer Data Scientist Jobs in Illinois

Description Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're ... such as Computer Science, Statistics, Economics, Math, Engineering, advanced degree preferred

This position focuses on data visualization, SQL querying, and stakeholder collaboration, with ... Required : • Bachelor's degree in Computer Science, Math, Statistics, or Supply Chain. • 2-3 ...

As a key member of the data science team at Southampton FC (SFC), based at Staplewood Training ... Statistics, Computer Science or other STEM field with experience in building a variety of ...

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

As a Senior Data Scientist, you will lead the design and development of advanced machine learning ... Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real ...

Basic Qualifications - Bachelor's degree in a quantitative field such as statistics, computer ... science, engineering or applied mathematics, or equivalent work experience - Six to eight years of ...

The Associate Data Scientist, under direct supervision, supports the analysis, development ... Experience using statistical computer languages to manipulate data and draw insights from large ...

The Associate Data Scientist, under direct supervision, supports the analysis, development ... Experience using statistical computer languages to manipulate data and draw insights from large ...

Sr Data Scientist

Chicago, IL · On-site

$142 - $222/hr

Master's degree, or foreign equivalent, in Computer Science, Data Science, Statistics, Engineering, or a closely related field plus five years of experience in the job offered or a related occupation.

Master's degree, or foreign equivalent, in Computer Science, Data Science, Statistics, Engineering, or a closely related field plus five years of experience in the job offered or a related occupation.

Other duties as assigned Requirements * 6+ years of work experience with a bachelor's degree in quantitative field such as Data Science, Computer Science, Statistics, Economics, Math, Engineering ...

Other duties as assigned Requirements * 6+ years of work experience with a bachelor's degree in quantitative field such as Data Science, Computer Science, Statistics, Economics, Math, Engineering ...

Master's degree, or foreign equivalent, in Computer Science, Data Science, Statistics, Engineering, or a closely related field plus five years of experience in the job offered or a related occupation.

Other duties as assigned Requirements * 6+ years of work experience with a bachelor's degree in quantitative field such as Data Science, Computer Science, Statistics, Economics, Math, Engineering ...

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

Computer Science degree (undergraduate or graduate level) and strong statistical background. Data Science specific graduate work, Finance sector experience or coursework preferredActs as a resource ...

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

... Computer Science degree (undergraduate or graduate level) and strong statistical background. Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as a ...

Showing results 41-60

Temporary Computer Data Scientist information

What is the difference between Temporary Computer Data Scientist vs Temporary Data Analyst?

AspectTemporary Computer Data ScientistTemporary Data Analyst
Required CredentialsBachelor's or higher in CS, Data Science, or related; often some experience with machine learningBachelor's in Statistics, Math, or related; proficiency in data visualization and basic analysis
Work EnvironmentTech companies, research labs, or consulting firms; project-based rolesBusiness, finance, marketing sectors; supporting decision-making processes
Employer & Industry UsageUsed across tech, healthcare, finance; often in innovative or R&D projectsCommon in corporate settings, retail, and marketing departments

Temporary Computer Data Scientists focus on advanced analytics, machine learning, and predictive modeling, requiring more technical expertise. Temporary Data Analysts primarily handle data collection, cleaning, and basic analysis to support business decisions. While both roles involve working with data, Data Scientists typically require stronger programming and statistical skills, whereas Data Analysts focus on reporting and visualization.

Can I get a temporary computer data scientist job with no experience?

Temporary computer data scientist roles typically require some experience in data analysis, programming, or related skills such as Python, R, or SQL. Entry-level positions may be available for those with relevant coursework, certifications, or strong analytical aptitude, but most employers prefer candidates with prior experience or demonstrated skills.

What are the most commonly searched types of Computer Data Scientist jobs in Illinois?

The most popular types of Computer Data Scientist jobs in Illinois are:

What cities in Illinois are hiring for Temporary Computer Data Scientist jobs?

Cities in Illinois with the most Temporary Computer Data Scientist job openings:

Data Scientist

AArete

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

Description
Data Scientist
AArete is one-of-a-kind when it comes to consulting firm culture.
We're a global, innovative management and technology consulting firm with offices in the U.S. and India. Our name comes from the Greek word for excellence: "Areté." And excellence is exactly what we strive for.
We're celebrating our fourth year as one of Forbes' World's Best Management Consulting Firms - and our success starts with our people. From robust career development planning to competitive life and wellness benefits, AArete's "Culture of Care" takes a holistic approach to the employee experience.
AAretians (our team members) are leaders at every level. You are encouraged to unlock your full potential by directly contributing to our mission and prioritizing personal development and fulfillment.
The Role
We are looking for a Data Scientist who will support our client teams with insights gained from analyzing data leveraging advance analytics techniques. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate has the capability to formulate data driven solutions in collaboration with stakeholders' business requirements. In the new age of AI, this role will help design, evaluate, and operationalize advanced Generative AI and Agentic AI solutions that responsibly augment analytical workflows, accelerate client delivery, and convert complex data into practical business action.
Work You'll Do
  • Mine and analyze data to drive optimization and improvement of business strategies
  • Develop custom AI/ML models and algorithms to apply to data sets
  • Develop processes and tools to create and monitor data models while maintaining accuracy and other associated metrics necessary for the business objective
  • Design, prototype, and evaluate Agentic AI workflows, including tool-using agents, retrieval-augmented generation, orchestration patterns, and human-in-the-loop controls
  • Apply advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, to solve client business problems
  • Leverage AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms to improve development velocity, code quality, documentation, and experimentation
  • Partner with business and technical stakeholders to rapidly learn new domains, frame ambiguous problems, and translate AI/ML opportunities into measurable client outcomes
  • Other duties as assigned

Requirements
  • 3-5 years of work experience with a bachelor's degree in quantitative field such as Computer Science, Statistics, Economics, Math, Engineering, advanced degree preferred
  • Previous experience working with relational databases and developing advanced SQL queries is a must
  • Hands-on Agentic AI experience, including building or evaluating AI agents, multi-step AI workflows, tool/function calling, retrieval-augmented generation, or workflow orchestration frameworks
  • Advanced Generative AI experience, including prompt engineering, LLM application design, model evaluation, responsible AI practices, and practical implementation of AI-enabled solutions
  • Strong Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows
  • Solid AI/ML background with practical experience across supervised learning, unsupervised learning, model validation, feature engineering, statistical analysis, and business-focused experimentation
  • Demonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for AI, curiosity, and a continuous learning mindset
  • Strong problem-solving skills with the ability to structure ambiguous business questions, test hypotheses, and deliver practical analytical recommendations
  • Experience leveraging AI assistive tools such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics, documentation, testing, and solution development
  • Experience working with business intelligence platforms: Tableau, Power BI, etc.
  • Must be legally authorized to work in the United States without the need for employer sponsorship

Preferred Requirements
  • Based in Chicago, IL, and flexible to work from our Chicago office as needed
  • Healthcare industry experience, especially with payer, provider, clinical, claims, revenue cycle, population health, or healthcare operations data
  • AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock, Lambda, S3, or related cloud-native AI/ML services
  • Snowflake experience, including data modeling, SQL optimization, secure data sharing, or analytics engineering in cloud data warehouse environments
  • Consulting background with experience working directly with clients, managing ambiguity, and delivering executive-ready recommendations
  • AWS AI or machine learning certifications, such as AWS Certified Machine Learning Engineer, AWS Certified Machine Learning Specialty, AWS Certified AI Practitioner, or related AWS credentials

Compensation & Benefits
  • Flexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidays
  • Own Your Day flexible work policy
  • Competitive majority employer-paid benefits: Medical, Dental, Vision, 401K Match
  • Generous paid parental leave options
  • Employer-paid Life Insurance, Short Term Disability, Long Term Disability
  • Charitable contribution matching program
  • New client commission opportunities and referral bonus program
  • Bike share discount program

The estimated base salary range for this position is $90,000 - $120,000. In addition to this base salary, individuals may be eligible for an annual discretionary bonus. This range is a part of a competitive, total compensation package together with our majority employer-paid benefits and incentive pay for eligible roles. Please note that this range is a guideline, and individual total compensation may vary due to numerous factors, including but not limited to experience level, certifications, and other relevant business considerations.
AArete will accept applications until the position is filled. The job posting will be removed once the role is no longer available.
We put humans at the center of our work
We're a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results.
But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion.
And we've been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine.
We've earned a Great Place to Work Certification™ and been named a World's Best Management Consulting Firm by Forbes, Vault's Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000's Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms.
Learn more about our award-winning culture
AArete, LLC ("AArete") may utilize Artificial Intelligence/Automated Decision-Making Technology/Automated Employment Decision Technology tools and resources ("AI" or "tools" or "resources") to assist humans in generating job descriptions and postings, recruitment, analyzation of information, screening candidates, evaluation of candidate information, and assisting humans in the selection of potential candidates by all levels of AArete employees for all positions.
AArete may use Microsoft Co-Pilot, OpenAI ChatGPT, Anthropic Claude, Google Gemini, LinkedIn Recruiter AI and Hiring Assistant, Jobvite Talent Fit and AArete HireSense. AArete may use all the information you provide. Submission of information to AArete shall serve as consent to AArete's use of AI tools and resources. AArete complies with all applicable law and does not use AI to discriminate against any individual and does not use location or geographic data like zip codes to act in a discriminatory or illegal manner. Your personal data may be used in relation to prospective employment with AArete and will only be retained for so long as legally necessary.
AArete shall comply with its posted privacy policies and candidates may contact Recruiting or Privacy Departments, as identified below, to request accommodations or to exercise any of your applicable rights, pursuant to applicable law:
Recruiting: [email protected]
Privacy: [email protected]
We are an Equal Employment Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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