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Data Science Major Jobs in Chicago, IL (NOW HIRING)

CNA

Senior Data AI Engineer

Chicago, IL · On-site

$118K - $141K/yr

... data science and ML applications. * Strong coding fluency in Python; hands-on experience with ... Expertise in building ML platforms and data pipelines at scale; familiarity with major ML ...

US Department of Commerce

Meteorologist

Romeoville, IL

$40K/yr

Degree in Meteorology, Atmospheric Science, or another natural science major that includes: * At ... Using current hydro-meteorological data to monitor conditions and assist with forecast preparation ...

Arrive Logistics

Senior Data Engineer

Chicago, IL

$150K - $187K/yr

Work closely with data scientists to orchestrate code based on data science and product ... Hands-on experience developing data solutions in a major cloud environment, with a strong ...

Arrive Logistics

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Work closely with data scientists to orchestrate code based on data science and product ... Hands-on experience developing data solutions in a major cloud environment, with a strong ...

Eliassen Group

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

The role requires leadership of a major workstream, strong Scala, Spark, SQL, and Python skills, and cloud data platform expertise. The engineer will partner across Product, Data Science, Security ...

Eliassen Group

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

The role requires leadership of a major workstream, strong Scala, Spark, SQL, and Python skills, and cloud data platform expertise. The engineer will partner across Product, Data Science, Security ...

Resultant

Data Engineer - Databricks

Chicago, IL

$118K - $141K/yr

You'll partner with solution architects, data scientists, and project leads to gather requirements ... Experience with at least one major cloud platform (Azure, AWS, or GCP) and its data services

Resultant

Data Engineer - Databricks

Chicago, IL · On-site +1

$118K - $141K/yr

You'll partner with solution architects, data scientists, and project leads to gather requirements ... Experience with at least one major cloud platform (Azure, AWS, or GCP) and its data services

Resultant

Data Engineer - Databricks

Chicago, IL

$118K - $141K/yr

You'll partner with solution architects, data scientists, and project leads to gather requirements ... Experience with at least one major cloud platform (Azure, AWS, or GCP) and its data services

Benchmark Analytics

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Owning the technical design, implementation, rollout, and operational support of major components ...

Benchmark Solutions LLC

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Owning the technical design, implementation, rollout, and operational support of major components ...

Benchmark Analytics

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Owning the technical design, implementation, rollout, and operational support of major components ...

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Showing results 21-40

All JobsData Science Major JobsData Science Major Jobs in Chicago, IL

Data Science Major information

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive as a data science major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is the difference between Data Science Major vs Data Analyst?

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What jobs can I do with a data science major?

A data science major can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, or data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with a focus on interpreting large datasets to support decision-making.

What kind of jobs can I get with a data science major?

A data science major can lead to roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

What are popular job titles related to Data Science Major jobs in Chicago, IL?

For Data Science Major jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Science Major jobs in Chicago, IL look for?

The top searched job categories for Data Science Major jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Data Science Major jobs?

Cities near Chicago, IL with the most Data Science Major job openings:

Data Science Major jobs near you
Infographic showing various Data Science Major job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data AI Engineer

CNA

Chicago, IL • On-site

$118K - $141K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
A senior individual contributor role responsible for designing, building, and operationalizing end-to-end AI and machine learning solutions that accelerate CNA's migration to a modern cloud data lakehouse. The engineer works across structured and unstructured data domains - including documents, images, audio, and transactional records - to unlock analytical value through scalable pipelines, RAG architectures, vector databases, and knowledge graphs. This role may also provide guidance to others to support the building of complex technical capabilities.
JOB DESCRIPTION:
Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:
  • Design and build AI solutions that accelerate data migration from legacy systems to the cloud, ensuring scalability, reliability, and governance compliance.

  • Design and implement scalable ingestion and transformation pipelines across structured (SQL, relational) and unstructured (documents, images, audio, email, call transcripts) data sources, applying OCR, NLP preprocessing, and document chunking strategies optimized for LLM consumption.

  • Implement modern lakehouse patterns on Google Cloud Platform (GCP) - including data governance, cataloging, and lineage tracking - to ensure data is reliably discoverable, auditable, and fit for AI/ML workloads at scale.

  • Design and implement vector databases, embedding pipelines, and knowledge graph structures that serve as the foundational retrieval layer for RAG and other AI applications.

  • Productionize and operationalize AI solutions and advanced analytics in a DevOps/MLOps environment, including automated testing, monitoring, and rollback capabilities.

  • Cultivate innovation by proactively proposing new ideas and identifying the right combination of tools and frameworks to turn business problems into analytics solutions.

  • Researches, identifies and implements process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.

May perform additional duties as assigned.
Reporting Relationship
Typically Director or above
Skills, Knowledge & Abilities
  • Deep expertise building scalable ingestion and transformation pipelines across structured and unstructured data sources; strong background migrating workloads from legacy systems to modern cloud platforms.
  • Skilled in parsing and normalizing diverse content types - PDFs, emails, images, and call transcripts - using OCR, NLP preprocessing (tokenization, entity extraction, summarization), and document chunking strategies optimized for LLM consumption.
  • Proven experience designing and implementing vector databases (e.g., Vertex AI Vector Search, Pinecone, pgvector), embedding pipelines, and knowledge graph structures that underpin RAG and semantic search applications
  • Strong SQL and data analytical skills; experience building data marts and feature datasets for data science and ML applications.
  • Strong coding fluency in Python; hands-on experience with BigQuery, Claude Code, RAG architectures, LLMs, ADK, and prompt engineering techniques
  • Expertise in building ML platforms and data pipelines at scale; familiarity with major ML algorithms, deep learning, NLP, information retrieval, and data mining techniques
  • Experience with GCP services (Vertex AI, Dataflow, BigQuery, Cloud Run, Pub/Sub); comfort with distributed computing frameworks (Apache Spark, Dataproc) for large-scale data processing.
  • Solid experience managing diverse data sources including preprocessing, cleansing, and verifying data integrity to meet data science and ML requirements
  • Demonstrated experience with machine learning, deep learning, information retrieval, NLP, or data mining - particularly applied to unstructured or semi-structured data
  • Hands-on experience with vector databases, embedding models (e.g., text-embedding-gecko, OpenAI Ada, Cohere), and end-to-end RAG pipeline design
  • Experience using Agile methods preferred.
  • Strong communication and interpersonal skills and the ability to work effectively with peers and team members in a highly matrixed environment.
  • Preferred experience with the insurance industry, its products and services.
  • Experience in implementing big data processing technology. Apache Spark preferred.

Education & Experience
  • Bachelor's Degree in Computer Science, Engineering, Mathematics, Computational Statistics, Data Science, or a related technical field (or equivalent experience); Master's Degree preferred.

  • Typically 7+ years of experience in data engineering, Artificial Intelligence or Machine Learning.

  • 2+ years of coding proficiency in at least one programming language (Python, Java, SQL).

  • Applicable certifications preferred (GCP, Data Engineering).

#LI-KJ1 #LI-HYBRID
In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visit cnabenefits.com.
CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com

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