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Overnight Natural Language Processing Engineer Jobs in Chicago, IL

Jobtailor

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

Python Programming * Machine Learning * Natural Language Processing * Data Analysis * API Development ATS Optimization KeywordsHard Skills * Data Cleaning * Quantitative Analytics * Statistical ...

Pwc

AI Engineer

Rosemont, IL · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... natural language processing tools like NLTK for text analytics and sentiment analysis ...

Pwc

AI Engineer

Chicago, IL

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... natural language processing tools like NLTK for text analytics and sentiment analysis ...

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All JobsNatural Language Processing Engineer JobsOvernight Natural Language Processing Engineer JobsOvernight Natural Language Processing Engineer Jobs in Chicago, IL

Overnight Natural Language Processing Engineer information

See Chicago, IL salary details

$61.8K

$90.4K

$121.6K

How much do overnight natural language processing engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for overnight natural language processing engineer in Chicago, IL is $90,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $109,700.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Natural Language Processing Engineer jobs in Chicago, IL?

The most popular types of Natural Language Processing Engineer jobs in Chicago, IL are:

Overnight Natural Language Processing Engineer jobs near you

Data Scientist

Jobtailor

Chicago, IL • On-site

$120 - $160/hr

Other

Posted 4 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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