ZipRecruiter

Log In

1

Modeling Simulation Analyst Jobs in Evanston, IL

NorthShore

Simulation Specialist

Evanston, IL · On-site

$35.16 - $54.50/hr

Serves as a role model and resource to network staff for competency-based education. * Develops and ... Solicit instructor and student feedback following simulation experience to analyze the impact of ...

ZS

Manager - Manufacturing Digital Twin

Evanston, IL · On-site

$200K - $229K/yr

Apply knowledge of physics-based modeling, robotics simulation, virtual commissioning, and advanced analytics to support clients in achieving smarter, faster factory performance. Client Leadership ...

previous pagenext page

Showing results 21-40

All JobsModeling Simulation Analyst JobsModeling Simulation Analyst Jobs in Evanston, IL

Modeling Simulation Analyst information

See Evanston, IL salary details

$37.4K

$97.2K

$138.2K

How much do modeling simulation analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for modeling simulation analyst in Evanston, IL is $97,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,300.00 and $124,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a modeling simulation analyst, and why are they important?

To thrive as a Modeling Simulation Analyst, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree such as in engineering or applied mathematics. Proficiency in simulation software (e.g., MATLAB, Simulink, Arena), programming languages (such as Python or C++), and familiarity with data analysis tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top candidates apart in this role. These abilities are vital for developing accurate models, interpreting complex data, and clearly presenting findings to support strategic decision-making.

How does a modeling simulation analyst typically collaborate with cross-functional teams during a project?

Modeling Simulation Analysts frequently work alongside engineers, data scientists, and project managers to develop and refine simulation models. Collaboration often involves gathering system requirements, validating model assumptions with subject matter experts, and presenting simulation results to stakeholders. Clear communication is essential, as analysts must translate complex simulation data into actionable insights for decision-makers. Regular team meetings and iterative feedback are common to ensure the models accurately reflect real-world scenarios and project goals.

What is a modeling simulation analyst?

Modeling Simulation Analysts are professionals who use mathematical models, simulations, and analytical techniques to study complex systems and predict their behavior. They help organizations make informed decisions by evaluating scenarios, testing hypotheses, and optimizing processes through virtual models. These analysts work in various industries, including defense, healthcare, manufacturing, and transportation, to improve efficiency, reduce costs, and support planning and strategy. Their work often involves collaboration with engineers, scientists, and decision-makers to interpret simulation results and implement solutions.

What is the difference between Modeling Simulation Analyst vs Data Analyst?

AspectModeling Simulation AnalystData Analyst
Required CredentialsBachelor's or master's in engineering, computer science, or related fields; proficiency in simulation softwareBachelor's in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering labs, simulation centers, or technical departmentsOffice settings, data centers, or business environments
Employer & Industry UsageManufacturing, aerospace, defense, or engineering firmsFinance, healthcare, marketing, or business sectors
Common Search & ComparisonYesYes

The Modeling Simulation Analyst focuses on creating and analyzing simulations to predict system behaviors, often requiring engineering or technical expertise. In contrast, Data Analysts interpret data sets to inform business decisions, typically using statistical tools. While both roles involve data handling, the Modeling Simulation Analyst emphasizes modeling complex systems, whereas Data Analysts focus on data interpretation for strategic insights.

What are popular job titles related to Modeling Simulation Analyst jobs in Evanston, IL? For Modeling Simulation Analyst jobs in Evanston, IL, the most frequently searched job titles are:
What cities near Evanston, IL are hiring for Modeling Simulation Analyst jobs? Cities near Evanston, IL with the most Modeling Simulation Analyst job openings:
Modeling Simulation Analyst jobs near you
Infographic showing various Modeling Simulation Analyst job openings in Evanston, IL as of June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 15% Part Time, 1% Temporary, and 10% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,170 per year, or $46.7 per hour.

Data Scientist, Innovation - Baseball Analytics

The Chicago Cubs

Chicago, IL • On-site

$80K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

GO BEYOND THE IVY
Our business is a team sport built on creating and delivering memorable experiences around Cubs baseball and other live events.
Chicago Cubs | Marquee 360 | Marquee Development | Marquee Ventures
Each brand stands as unique as the teams that drive them. We welcome you to learn more about us.
JOB TITLE: Data Scientist, Innovation - Baseball Analytics
DEPARTMENT: R&D Baseball Operations
ORGANIZATION: Chicago Cubs
REPORTS TO: Assistant Director, Baseball Analytics
LOCATION: Chicago, IL
FLSA STATUS: Exempt
COMPENSATION: $80,000 - $150,000 USD
BEING PART OF THE TEAM
Our business is a team sport that began on a field with baseballs and bats and has evolved into one of the most recognizable brands in sports and entertainment through Cubs baseball and live events. Our success is driven by our people, who work to create and inspire change in an engaging, collaborative and inclusive environment. As a team, we continue to build a culture on and off the field that delivers unforgettable experiences for one another, our fans and community. In support of that effort, we expect associates to work primarily in our office. Are you ready to be part of it?
OUR STORY
The Chicago Cubs franchise, a charter member of Major League Baseball's National League since 1876, has won the National League pennant 17 times and was the first team to win back-to-back World Series titles in the 1907 and 1908 seasons. In 2016, the Chicago Cubs made history again when the team won its first World Series in 108 years, ending the longest championship drought in North American sports. Known for its ivy-covered outfield walls, hand-operated scoreboard and famous Marquee, iconic Wrigley Field has been the home of the Chicago Cubs since 1916 and is the second oldest ballpark in Major League Baseball. In 2009, the Ricketts family assumed ownership of the Chicago Cubs and established three main goals for the organization: Win the World Series, Preserve and Improve Wrigley Field, and Be a Good Neighbor.
HOW YOU'LL CONTRIBUTE
The Chicago Cubs are seeking a Data Scientist, Innovation within Baseball Analytics focused on advancing analytics, modeling, and applied research across Baseball Operations. This role will focus on developing cutting-edge machine learning models, exploring novel analytical approaches, and translating complex baseball data into actionable insights.
This position emphasizes innovation in modeling, experimentation, and analytical rigor. The ideal candidate thrives in research-driven environments, pushing the boundaries of predictive modeling, simulation, and multimodal data analysis to improve player evaluation, player development, and performance analysis.
THE DAY-TO-DAY:
Machine Learning & Advanced Modeling
  • Develop and evaluate machine learning and statistical models for player evaluation and performance analysis
  • Design and implement time-series, probabilistic, and simulation-based models
  • Apply modern deep learning techniques (e.g., attention models, multimodal learning)
  • Explore and apply generative modeling approaches beyond LLMs

Analytics Innovation
  • Conduct research into new modeling techniques and analytical frameworks
  • Prototype and experiment with novel approaches to improve predictive performance
  • Translate complex datasets (tracking, video, sensor data) into structured insights

Research & Thought Leadership
  • Stay current with advancements in AI, machine learning, and sports analytics
  • Serve as a subject matter expert on modeling approaches and statistical methods
  • Partner with stakeholders to identify high-impact analytical opportunities

WHAT YOU'LL BRING:
  • Strong experience with machine learning frameworks (PyTorch, TensorFlow, etc.)
  • Deep understanding of statistical modeling and data science workflows
  • Experience working with complex and high-dimensional datasets
  • Proficiency in Python, SQL, and version control

WHAT SETS YOU APART:
  • 5+ years in machine learning, data science, or applied research
  • Experience with multimodal data (video, tracking, sensor data)
  • Background in sports analytics, preferably baseball
  • Experience with simulation or probabilistic modeling frameworks

TOTAL REWARDS:
  • On-site parking
  • Transit benefits
  • Paid time off: Personal, Sick, Vacation Time, Office Holidays & Winter Break
  • Flexible work arrangement
  • Casual work attire environment
  • Complimentary Meal & beverage plan
  • Cubs home game & spring training game ticket allotment
  • Access to campus wide Wrigley Field events & pre-sales
  • 401K Plan Employee Contribution & Employer Match
  • Benefit Plans: Medical, Dental, Vision & Life Insurance
  • Health & Wellness engagement & programming
  • Variety of associate special events, volunteer opportunities and partnership discounts
  • Tuition Reimbursement
  • Free access to EV charging stations

* This job posting includes the anticipated compensation, which reflects the hourly rate or salary range the Chicago Cubs and its affiliates are considering for this role in the specified location(s) as of the posting date. Where anticipated compensation is a salary range, the actual base salary offered within that range will be reflective of the candidate's skills and experience.
The Chicago Cubs and its affiliates embrace diversity and are committed to building a team that represents all communities. We hold ourselves accountable to include new and different voices in our organization. Everyone is welcome here, and we celebrate what makes each of us unique.
Response Expectations:
Due to the overwhelming number of applications we receive, we unfortunately may not be able to respond in person to each applicant. However, we can assure you that you will receive an email confirmation when you apply as well as additional email notifications whether you are selected to move forward for the position or not. Please note, we keep all resumes on file and will contact you should we wish to schedule an interview with you.
The Chicago Cubs and its affiliates are an Equal Opportunity Employer committed to inclusion and employing a diverse workforce. All applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, or other legally protected characteristics.

Apply