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Senior Optum Data Science Jobs in Chicago, IL (NOW HIRING)

MonoSol

Senior Scientist Data Science

Chicago, IL · On-site

The ideal candidate pairs strong full-stack data science skills with domain intuition and thrives in translating complex technical problems into practical solutions. As a senior individual ...

MonoSol

Senior Scientist Data Science

Chicago, IL · On-site

$130 - $155/hr

The ideal candidate pairs strong full-stack data science skills with domain intuition and thrives in translating complex technical problems into practical solutions. As a senior individual ...

AbbVie

Senior Manager, Data Science

North Chicago, IL · On-site

$142K - $208K/yr

Senior Manager, Data Science, AbbVie Inc., North Chicago, IL (Hybrid (onsite 3 days a week/ 2 days WFH)). Key Responsibilities * Deliver biomarker analysis expertise for clinical studies. * Ensure ...

Allergan

Senior Manager, Data Science

Chicago, IL · On-site

$142 - $209/hr

Senior Manager, Data Science, AbbVie Inc., North Chicago, IL (Hybrid (onsite 3 days a week/ 2 days WFH)). Key Responsibilities * Deliver biomarker analysis expertise for clinical studies. * Ensure ...

AbbVie

Senior Manager, Data Science

North Chicago, IL · Hybrid

$142K - $208K/yr

Senior Manager, Data Science, AbbVie Inc., North Chicago, IL (Hybrid (onsite 3 days a week/ 2 days WFH)). Key Responsibilities * Deliver biomarker analysis expertise for clinical studies. * Ensure ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Senior Data Scientist Remote/Onsite : Remote Contract Pay: $85/hr - $100/hr The Senior Data ... Translate business problems in a variety of business areas into well-defined data science projects ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Requirement - Senior Data Scientist Location- Chicago, IL-Remote Contract W2 Updated JD PURPOSE ... Translate risk management business requirements into well-defined data science solutions, including ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Job Title Senior Data Scientist Location Remote Type of Hire 4 months contract They strictly want ... Translate risk management business requirements into well-defined data science solutions, including ...

Amgen

Sr. Data Scientist - Process Modeling

Chicago, IL · On-site

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... As a Sr. Data Scientist, you will evaluate and improve Amgen's digital assets, collaborating as ...

New

Grubhub

Senior Staff Data Scientist

Chicago, IL

About the Opportunity At Wonder Data Science, our mission is to build data science and machine ... As a Senior Staff Data Scientist, you will go beyond individual problem solving - you will help ...

Launch Consulting

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here. The Role: As a Senior Data Scientist, you will lead the design and development of ...

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All JobsOptum Data Science JobsSenior Optum Data Science JobsSenior Optum Data Science Jobs in Chicago, IL

Senior Optum Data Science information

See Chicago, IL salary details

$25.8K

$82.7K

$168.4K

How much do senior optum data science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior optum data science in Chicago, IL is $82,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,800.00 and $106,100.00 per year, depending on experience, location, and employer.

What is the difference between Senior Optum Data Science vs Data Analyst?

AspectSenior Optum Data ScienceData Analyst
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; experience with machine learningBachelor's degree in Data Analysis, Statistics, or related field; some experience with data tools
Work EnvironmentHealthcare analytics, cross-functional teams, complex data modelingData reporting, visualization, basic analysis in various industries
Employer & Industry UsageOptum/UnitedHealth Group, healthcare industryVarious industries including healthcare, finance, retail

Senior Optum Data Scientists focus on advanced analytics, machine learning, and healthcare-specific data challenges within Optum. Data Analysts typically handle data reporting, visualization, and basic analysis across multiple industries. The roles differ mainly in complexity, required skills, and industry focus, with Senior Data Scientists engaging in more technical and strategic tasks.

What are the most commonly searched types of Optum Data Science jobs in Chicago, IL?

The most popular types of Optum Data Science jobs in Chicago, IL are:

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

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

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

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

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

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

Senior Optum Data Science jobs near you
Infographic showing various Senior Optum Data Science job openings in Chicago, IL as of August 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $82,707 per year, or $39.8 per hour.

Senior Scientist Data Science

Chicago, IL • On-site

MonoSol
201 - 500 employees

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Great coworkers

People enjoy working here

Good employer

Learn more about MonoSolexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

We're looking for an experienced Data Scientist with a background in materials, chemistry, polymers, or chemical engineering to transform how data drives decisions across R&D and manufacturing. You'll build advanced statistical and machine learning models, develop digital twins, and accelerate our understanding of materials, chemistry, and processes through predictive modeling and optimization. This role sits at the intersection of scientific insight, statistical rigor, and real-world impact. The ideal candidate pairs strong full-stack data science skills with domain intuition and thrives in translating complex technical problems into practical solutions.
As a senior individual contributor, you'll lead end-to-end modeling initiatives and translate insights into deployed solutions and operational recommendations that improve yield, quality, cost, and cycle time. You'll work across diverse data environments (from small, high-value R&D experiments to complex, high-dimensional production datasets) turning complexity into clear, actionable direction. Your work will directly shape how teams access, use, and trust data, helping build a more agile, innovation-focused organization.
Beyond building models, you'll help elevate our broader data science capabilities by developing reusable tools, scalable workflows, and high-quality data assets that amplify impact across projects and teams. This is an opportunity to do meaningful, technically challenging work while shaping how data science is applied in a materials and manufacturing environment.
Key Responsibilities
Scientific and Statistical Partnership
  • Partner with scientists, engineers, and manufacturing teams to frame high-impact problems, assess data quality, and apply rigorous statistical thinking to materials, process, and production challenges.
  • Bring a strong scientific lens to every analysis by ensuring methods are not only technically sound, but meaningful in the context of chemistry, materials behavior, and real-world process dynamics.

Predictive Modeling, Digital Twins, and Optimization
  • Design, build, and evolve advanced statistical and machine learning models that drive technical decision making across R&D and manufacturing.
  • Work with domain experts to support development of digital twin and hybrid models that combine first-principles knowledge with machine learning to simulate, predict, and optimize material and process performance.
  • Own models through the full lifecycle ensuring they are robust, interpretable, and actionable in operational environments.

Data Transformation and Feature Engineering
  • Work across complex, multi-source datasets spanning laboratory, pilot, and manufacturing environments, transforming raw data into structured, analysis-ready assets.
  • Engineer meaningful features that unlock insight into structure-property-process-performance relationships and improve model performance, interpretability, and usability.

Visualization, Communication, and Decision Support
  • Translate complex analyses into clear, compelling visualizations, tools, and narratives that enable teams to quickly understand and act on insights.
  • Deliver recommendations that directly influence R&D direction, process optimization, and manufacturing performance, and communicate effectively across diverse audiences.

Leadership, Capability Building & Data Advancement
  • Lead data science initiatives from problem definition through sustained use in decision-making, working across R&D and manufacturing.
  • Act as a thought leader to technical teams by shaping analytical approaches, guiding best practices, and mentoring others in statistical thinking and disciplined use of data.
  • Drive improvements in how technical data is structured, captured, and used and develop reusable tools, workflows, and codebases that scale impact beyond individual projects.

Qualifications
Education
  • Bachelor's degree in Materials Science, Chemistry, Chemical Engineering, Polymer Science, Data Science, Statistics, Computer Science, or a related technical field; Master's or PhD strongly preferred

Experience
  • 5+ years of applying data science, statistics, or advanced analytics to complex problems in materials, chemistry, manufacturing, or related technical environments
  • Track record of delivering measurable impact through modeling and analysis (e.g. improvements in yield, quality, cost, or efficiency) and owning delivery from problem framing through deployment
  • Experience with modeling across data scales and structures spanning small, high-value experimental datasets to large high-dimensional production or process datasets
  • Experience working with manufacturing, process, or production systems, and connecting analysis to real-world operational performance

Technical Skills
  • Strong proficiency in Python and modern data science tooling (e.g., pandas, NumPy, scikit-learn, PyTorch/TensorFlow, LightGBM, SHAP); familiarity with R or JMP is a plus
  • Deep grounding in statistical methods, including both frequentist and Bayesian approaches, with the ability to design experiments, quantify uncertainty, and make decisions under limited data
  • Experience developing predictive and explanatory models, including feature engineering, latent variable methods, and interpretable modeling approaches
  • Strong SQL skills and experience working with structured and relational data; familiarity with cloud-based data and analytics platforms (e.g., AWS, Azure)
  • Experience creating interactive dashboards or data applications to support decision making (e.g., Power BI, Tableau, Streamlit, or Plotly Dash)
  • Experience building and deploying models in production or operational environments, including version control (Git), reproducibility, and lifecycle management practices
  • Experience with digital twins, hybrid modeling approaches, or combining physics-based understanding (preferred) with data-driven techniques for prediction and optimization
  • Familiarity with generative AI techniques, large language models (LLMs), or retrieval-augmented generation (RAG) as applied to scientific or engineering workflows (preferred)
  • Familiarity with materials modeling data or tools (e.g., DFT, MD, CALPHAD) or adjacent scientific computing approaches (preferred)

Who you are
  • Strong communicator who can engage effectively with scientists, engineers, manufacturing teams, and leadership and translates complexity into clarity
  • Comfortable operating in ambiguous, cross-functional environments and taking ownership of high-impact problems without waiting for direction
  • Self-directed senior IC who leads through influence by shaping analytical approaches, driving alignment across teams, and raising the bar for how data is used
  • Energized by continuous learning and staying at the forefront of materials informatics, AI/ML, and scientific computing

Additional information
Applicable only to applicants applying to a position in any location with a pay disclosure requirements under state or local law:
  • The compensation range that is described below is the possible base pay compensation that the company believes in good faith that it will pay for this role at the time of posting based on job grade for the position. Individual compensation within this range is based on many factors such as years of experience etc. so the company might pay more or less than the posted range and it is understood that this range may be modified in the future.
  • In addition to base compensation, MonoSol provides a yearly incentive compensation bonus, a profit sharing bonus when eligible, a comprehensive benefits package including medical, dental, vision insurances, short term disability, long term disability, accidental death and dismemberment, term life insurance, voluntary term life insurance, transit flexible spending account (if applicable), employee assistance program, identity theft protection, 401k and paid time off (vacation and sick days).

Status: Full Time
Job Location: Hybrid
Compensation range - $130,000.00 - $155,000.00
Incentive Compensation Bonus Target - 10-15%
Paid time off amount - 15 days
CLOSING
The above statements are intended to describe the general nature and level of the work being performed by employees assigned to this position. This is not intended as an exhaustive list of all responsibilities, duties, and skills required. MonoSol, LLC reserves the right to make changes to the job description whenever necessary.
Disclaimer
As part of MonoSol, LLC's employment process, finalist candidates will be required to complete a drug test and background check prior to employment commencing. MonoSol, LLC is an equal opportunity employer. All qualified applicants will be considered without regard to race, national origin, gender, age, disability, sexual orientation, veteran status, or marital status.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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