Data Scientist

Jobtailor; Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor is seeking a technical data scientist in Chicago to contribute on a focused analytics team. You will clean, analyze, and model large datasets, applying machine learning, statistical modeling, and NLP to generate measurable business insights.

Collaborate with product and business teams to maximize value from digital services and build production-ready solutions. Responsibilities include developing NLP models, building APIs, and deploying predictive analytics in an Agile setting.

Qualifications

• Bachelor's or higher with strong quantitative coursework
• 5+ years of technical data science experience or 3+ years with Master's
• Proven Python data analysis and modeling experience
• Experience with Git version control
• Experience with SQL and NoSQL databases
• Cloud computing experience (AWS, Snowflake)
• Experience deploying predictive/prescriptive analytics models
• Experience with NLP and text mining techniques
• Ability to communicate findings to technical and business stakeholders
• Agile environment experience

Responsibilities

• Act as a technical contributor on a small analytics team
• Collaborate with cross-functional teams to maximize value from digital products
• Perform data cleaning, analysis, and modeling on complex datasets
• Apply ML, statistical modeling, and causal inference to generate insights
• Develop and productionize analytics solutions and ML models
• Develop NLP algorithms for textual data
• Present methods and results to leadership and partners
• Develop APIs to integrate with applications
• Work independently while contributing to broader Agile projects

Skills

Python Programming

Machine Learning

Natural Language Processing

Data Analysis

API Development

Cloud Computing

Communication

Agile

Education

Bachelor's degree in statistics / data science / analytics

Master's degree preferred in related field

Tools

Jupyter Notebooks

AWS

Snowflake

Git

SQL

NoSQL

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 Keywords

Hard 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