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Algorithm Scientist Jobs in Chicago, IL (NOW HIRING)

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

Develop and implement natural language processing algorithms and models for textual data * Present ... Degree preferably in statistics, applied mathematics, data science, analytics, engineering ...

Data Scientist

Lemont, IL · On-site

$94 - $181/hr

Collaborate with software engineers to support the transition of algorithms from research to ... Our scientists and engineers conduct world-class research in clean energy, the environment ...

... algorithms use trusted dataDevelop and maintain an understanding of many algorithms across ... Plan and execute data science training sessions and hackathonsWork with external parties (vendors ...

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

... ensure that algorithms use trusted data • Develop and maintain an understanding of many ... Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as ...

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

... ensure that algorithms use trusted data • Develop and maintain an understanding of many ... Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as ...

Senior Data Scientist Who you are: You are someone who takes pride in your work, seeks order in ... Develop algorithms and models that inform customer activities * Participate in the architecture and ...

Data Scientist

Lemont, IL

$116K - $181K/yr

Collaborate with software engineers to support the transition of algorithms from research to ... collaborative scientific discovery and innovation. Argonne encourages everyone to apply for ...

Data Scientist

Lemont, IL · On-site

$116K - $181K/yr

Collaborate with software engineers to support the transition of algorithms from research to ... collaborative scientific discovery and innovation. Argonne encourages everyone to apply for ...

Sr Data Scientist

Chicago, IL · On-site

$130.50 - $193.60/hr

Job Summary This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions.

Data Scientist

Chicago, IL · On-site

$139K - $144K/yr

XGBoost, Random Forest, and ensemble algorithms for predictive modeling. * Cluster analysis (K ... Data Scientist $139,818.00 - $144,818.00 per year Ability to follow Edelman's hybrid in-office ...

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

XGBoost, Random Forest, and ensemble algorithms for predictive modeling. * Cluster analysis (K ... Data Scientist $139,818.00 - $144,818.00 per year Ability to follow Edelman's hybrid in-office ...

Sr. Data Scientist

University Park, IL · On-site

$140 - $190/hr

Develop machine and deep learning based algorithms that eliminates or minimizes manual data ... Master's in Statistics, Mathematics, Computer Science or another quantitative field preferred; STEM ...

As a Data Scientist at MessageControl you'll be building intelligent products to protect people ... Build complex predictive models using Machine Learning and Deep Learning algorithms to ...

As a Data Scientist at MessageControl you'll be building intelligent products to protect people ... Build complex predictive models using Machine Learning and Deep Learning algorithms to ...

Showing results 21-40

Algorithm Scientist information

See Chicago, IL salary details

$52K

$114.7K

$141.6K

How much do algorithm scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for algorithm scientist in Chicago, IL is $114,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $141,100.00 per year, depending on experience, location, and employer.

What is an algorithm scientist?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

How does an algorithm scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are the key skills and qualifications needed to thrive as an algorithm scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.

What job categories do people searching Algorithm Scientist jobs in Chicago, IL look for?

The top searched job categories for Algorithm Scientist jobs in Chicago, IL are:

Infographic showing various Algorithm Scientist job openings in Chicago, IL as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 9% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $114,699 per year, or $55.1 per hour.

Data Scientist

Jobtailor

Chicago, IL • On-site

$120 - $160/hr

Other

Posted 6 days ago


Job description

  • Act as a technical individual contributor on a small multi-person analytics team
  • Collaborate with Cat Digital and Global Service business teams to maximize value from digital products and services
  • Perform data cleaning, analysis, quantitative analytics, and modeling
  • Apply machine learning, statistical modeling, and causal inference to generate insights and measurable business value
  • Conduct exploratory data analysis, data mining, and data preparation across complex datasets
  • Develop, deploy, and productionize predictive and prescriptive analytics solutions and machine learning models
  • Develop and implement natural language processing algorithms and models for textual data
  • Present methods, results, and conclusions to the analytics team, leadership, technical leaders, managers, and business partners
  • Develop APIs to integrate with digital applications and extract and process data
  • Work independently on assigned project tasks while collaborating on larger challenges in an Agile environment
Requirements
  • Bachelor's degree with 5+ years of proven technical data science experience OR Master's degree with 3+ years of proven technical data science experience
  • Degree preferably in statistics, applied mathematics, data science, analytics, engineering, computer science, or a similar field with quantitative coursework
  • Proven experience using Python for data analysis and modeling, including Jupyter Notebooks and common libraries and packages
  • Experience with version control systems such as Git
  • Experience with database technologies such as SQL and NoSQL
  • Ability to process large quantities of detailed information with high accuracy
  • Practical experience with cloud computing and software development in cloud environments such as AWS and Snowflake
  • Practical experience developing, deploying, and productionizing predictive and/or prescriptive analytics solutions and machine learning models
  • Experience with advanced data analysis and machine learning and statistical techniques, including classification, regression, clustering, collaborative filtering, and hypothesis testing
  • Experience developing and implementing natural language processing (NLP) algorithms and models using advanced text mining techniques
  • Strong technical and problem-solving skills with continual learning and initiative
  • Strong communication skills and ability to explain conclusions to technical leaders, managers, and business partners
  • Experience operating in an Agile environment with ownership and initiative
  • Experience with API development
  • Ability to work independently with strong attention to detail
  • Demonstrated interest in experimenting with or applying emerging AI and GenAI techniques
  • Visa sponsorship is not available for this position
  • Any offer of employment is conditioned upon successful completion of a drug screen
Core Competencies

Demonstrates expertise in data science with a strong focus on machine learning, statistical modeling, and natural language processing. Proficient in developing and deploying predictive analytics solutions while effectively communicating insights to stakeholders.

Highest-signal resume keywords
  • Python Programming
  • Machine Learning
  • Natural Language Processing
  • Data Analysis
  • API Development
ATS Optimization KeywordsHard Skills
  • Data Cleaning
  • Quantitative Analytics
  • Statistical Modeling
  • Exploratory Data Analysis
  • Predictive Analytics
  • Prescriptive Analytics
  • Data Mining
  • Cloud Computing
  • Version Control (Git)
  • Database Technologies (SQL, NoSQL)
Soft Skills
  • Strong Communication Skills
  • Problem-Solving Skills
  • Attention to Detail
  • Initiative
  • Collaboration
Industry Keywords
  • Data Science
  • Analytics
  • Machine Learning Techniques
  • Text Mining
  • AI and GenAI Techniques
Tools & Technologies
  • Jupyter Notebooks
  • AWS
  • Snowflake
  • Agile Methodology
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