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Science Engineer Jobs in Chicago, IL (NOW HIRING)

Deloitte

AI and Data Science Engineer III

Chicago, IL · On-site +1

$118K - $141K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

Deloitte

AI and Data Science Engineer III

Chicago, IL

$118K - $141K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior ...

Deloitte

AI and Data Science Engineer II

Chicago, IL · On-site

$118K - $141K/yr

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to ...

Deloitte

AI and Data Science Engineer III

Chicago, IL · On-site

Required : • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science) • 4+ years of experience in data science, analytics, or a related field - with ...

Next Step Systems

Data Science Developer

Chicago, IL · On-site

Data Science Developer, Chicago, IL We are seeking a talented Data Science Developer candidate to ... Engineer, Software Developer, Programming, Programmer Analyst, Financial, Trading, Chicago ...

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All JobsScience Engineer JobsScience Engineer Jobs in Chicago, IL

Science Engineer information

What are the key skills and qualifications needed to thrive as a Science Engineer, and why are they important?

To thrive as a Science Engineer, you need a strong background in engineering principles, scientific analysis, and problem-solving, typically supported by a relevant engineering degree. Familiarity with technical tools such as CAD software, simulation programs, and data analysis platforms, as well as certifications like Professional Engineer (PE), are often required. Strong communication, teamwork, and critical thinking skills help distinguish top performers in this field. These competencies ensure innovative solutions, effective project execution, and collaboration across interdisciplinary teams.

What are science engineers?

Science engineers are professionals who apply scientific principles and methods to solve technical problems and develop new technologies. They often work at the intersection of research and application, using their expertise in fields such as physics, chemistry, biology, or materials science to design innovative products, improve existing processes, and conduct experiments. Science engineers collaborate with researchers, engineers, and other specialists to translate scientific discoveries into practical solutions for industries like healthcare, energy, manufacturing, and environmental management.

What is the difference between Science Engineer vs Mechanical Engineer?

AspectScience EngineerMechanical Engineer
Required CredentialsBachelor's or higher in science or engineering fields, certifications varyBachelor's or higher in mechanical engineering, PE license optional
Work EnvironmentResearch labs, development centers, industrial settingsManufacturing plants, design offices, testing facilities
Employer & Industry UsageResearch institutions, tech companies, government agenciesManufacturing firms, automotive, aerospace, energy sectors
Common Search & ComparisonYesYes

Science Engineers focus on applying scientific principles to develop new technologies and conduct research, often working in labs or research centers. Mechanical Engineers design, analyze, and manufacture mechanical systems, working primarily in industrial and manufacturing environments. While both roles require engineering knowledge, Science Engineers emphasize scientific research, whereas Mechanical Engineers focus on practical system design and production.

What are some common challenges Science Engineers face when working on interdisciplinary teams?

Science Engineers often collaborate with professionals from diverse backgrounds, such as chemists, physicists, and computer scientists. One common challenge is bridging communication gaps due to different terminologies and approaches used in each discipline. Successfully navigating these differences requires strong interpersonal skills and a willingness to learn from team members. Adapting to varying project management styles and aligning on shared goals are also key aspects of effective interdisciplinary teamwork.
What are popular job titles related to Science Engineer jobs in Chicago, IL? For Science Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Science Engineer jobs in Chicago, IL look for? The top searched job categories for Science Engineer jobs in Chicago, IL are:
Science Engineer jobs near you
Infographic showing various Science Engineer job openings in Chicago, IL as of June 2026, with employment types broken down into 75% Full Time, 21% Part Time, 2% Contract, and 2% Nights. Highlights an 86% Physical, 7% Hybrid, and 7% Remote job distribution.
Lead Data Science Engineer

Lead Data Science Engineer

Health Care Service Corporation

Chicago, IL • Hybrid

$121K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago

Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

Job SummaryThis position is responsible for the engineering work necessary for successful creation, deployment and managing of AI capabilities of the Intelligent Delivery Platform. This includes
- ensuring data quality,
- creation of new data pipelines,
- optimization and management of existing data pipelines,
- ingestion and curation of data sources for Gen AI purposes (including chunking/embedding strategies for RAG system),
- AI Agent delivery,
- Prompt Engineering,
- selection and configuration of AI-specific tools and platforms
- management and monitoring of AI models through MLOps tools and model ops practices.
To operationalize AI capabilities, they will work closely with larger team who will supplement where traditional application development support is needed.

NOTE: This hybrid role can be located in CHICAGO IL; WAUKEGAN, IL; TULSA, OK; HELENA, MT; ALBUQUERQUE, NM; or RICHARDSON, TX ~ relocation will not be offered; sponsorship is not available.

Required Job Qualifications:

  • Bachelor degree and 5 years of work experience in a computer science, engineering, or related field OR Master's degree and 4 years of work experience in a computer science, engineering, or related field OR Ph.D. and 2 years of work experience in a computer science, engineering, or related field"
  • Learning and growth mindset.
  • Customer-focused.
  • Interpersonal, verbal and written communication skills.
  • Must demonstrate proficiency in at least five and mastery in one of the following six areas: data analysis and relational-style query languages; data pipelining and ETL; working with semi structured and unstructured data; a high- level programming language; distributed computing; understanding of healthcare.
  • Proficiency in iterative development practices.
  • Independently delivering or leading the delivery of data engineering solutions for multiple complex analytics or data science projects and products.
  • A track record of independently delivering or leading the delivery of ML engineering capabilities.
  • Experience in Python-based Data Science frameworks (LangChain, LangGraph, LangFuse).
  • Experience in Model evaluation and deployment.
  • Experience in data curation, prep, training, and fine-tuning of Models.
  • Experience in evaluation frameworks
  • Experience in prompt engineering
  • Experience in working with multiple Models

Preferred Job Qualifications:

  • Master degree in a computational field, or Bachelor degree with significant healthcare experience
  • Understanding PySpark / Databricks to efficiently work with large data sets
  • Azure Cloud Infrastructure / Deployment with emphasis on AI related tooling, Azure ML, Azure OpenAI, etc.
  • Experience in Observability Frameworks and Framework Operationalization.
  • Experience in creation of knowledge graph database (neo4J)
  • Experience in working with Small Language Models or custom Models

#LI-BS1

#LI-Hybrid

#INCR

Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plansubject to the terms and the conditions of the plan.

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Base Pay Range$121,200.00 - $225,200.00

Exact compensation may vary based on skills, experience, and location.

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