Senior Data Science Engineer Visa Sponsorship Jobs in Illinois
Illinois is a major hub for senior data science engineer hiring, with sponsorship activity concentrated in Chicago's tech, finance, and healthcare sectors. Companies like Motorola Solutions, Morningstar, and major trading firms regularly hire at this level. The Chicago metro anchors most opportunities, though Champaign-Urbana's University of Illinois connection feeds a secondary pipeline of research-oriented roles.
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Application Deadline:
04/26/2026
Address:
180 Montgomery St.
Job Family Group:
Data Analytics & Reporting
This is a hybrid role
Role Overview
We are looking for a Senior Data Scientist with a strong can‑do mindset, proven ability to ship production‑grade models, and passion for solving ambiguous business challenges. This role blends deep technical expertise with business acumen, product thinking, and strong storytelling skills. You will drive end‑to‑end delivery of Data & AI solutions—from problem framing and data acquisition to model development, deployment, and ongoing optimization—while influencing stakeholders across the organization.
Key Responsibilities
Model Development & Delivery
- Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive models and intelligent automation systems that deliver measurable business impact.
- Own the full model lifecycle: data exploration, modeling, validation, deployment, monitoring, and continual improvement.
- Diagnose and resolve model performance issues; implement scalable, reliable processes for ongoing model operations.
- Use strong programming skills to prepare complex datasets (structured, semi‑structured, unstructured) and build reproducible pipelines.
Business Impact & Storytelling
- Translate complex analytical findings into clear, actionable insights that influence decision‑making at all levels.
- Present recommendations in a compelling narrative that resonates with both technical and non‑technical stakeholders.
- Lead discovery sessions to clarify business needs, define success metrics, and design analytical approaches that support business strategy.
Innovation & Best Practices
- Drive innovation in Data & AI through new techniques, experimentation frameworks, and reusable analytical assets.
- Establish and promote best practices in model development, MLOps, governance, and data quality.
- Stay current on emerging trends, regulations, and technologies; provide guidance on how to leverage them within the organization.
Leadership & Collaboration
- Serve as a subject matter expert for stakeholders across the enterprise.
- Partner with cross‑functional teams—including Engineering, Product, and Business—to deliver solutions that scale.
- Lead or contribute to strategic initiatives, roadmaps, and business cases that support the organization’s data and AI vision.
- Mentor and guide other data scientists; contribute to internal training, tools, and knowledge‑sharing.
Execution & Change Leadership
- Manage complex, ambiguous problems by structuring analytical approaches and selecting appropriate modeling techniques.
- Lead change management and communication efforts associated with analytics initiatives.
- Implement processes and controls that ensure high‑quality, consistent delivery of analytical work.
Qualifications
- 7+ years of relevant experience in data science, machine learning, or applied analytics.
- Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics, or related quantitative field—or equivalent experience.
- Proven track record of shipping models to production and maintaining them at scale.
- Expertise in machine learning and deep learning algorithms and frameworks.
- Proficiency in Python and SQL; experience with R, SAS, or other analytical tools is a plus.
- Experience with distributed computing technologies (Hive, Hadoop, Spark) and cloud ML platforms (AWS SageMaker, Azure ML, etc.).
- Strong communication, storytelling, and influence skills; able to drive alignment across diverse groups.
- Demonstrated ability to operate in ambiguity, make data-driven decisions, and solve complex, open-ended problems.
- Experienced collaborator with deep cross-functional partnership skills and ownership mindset.
Salary:
$122,400.00 - $228,000.00
Pay Type:
Salaried
The above represents BMO Financial Group’s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.
BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.
BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Application Deadline:
04/26/2026
Address:
180 Montgomery St.
Job Family Group:
Data Analytics & Reporting
This is a hybrid role
Role Overview
We are looking for a Senior Data Scientist with a strong can‑do mindset, proven ability to ship production‑grade models, and passion for solving ambiguous business challenges. This role blends deep technical expertise with business acumen, product thinking, and strong storytelling skills. You will drive end‑to‑end delivery of Data & AI solutions—from problem framing and data acquisition to model development, deployment, and ongoing optimization—while influencing stakeholders across the organization.
Key Responsibilities
Model Development & Delivery
- Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive models and intelligent automation systems that deliver measurable business impact.
- Own the full model lifecycle: data exploration, modeling, validation, deployment, monitoring, and continual improvement.
- Diagnose and resolve model performance issues; implement scalable, reliable processes for ongoing model operations.
- Use strong programming skills to prepare complex datasets (structured, semi‑structured, unstructured) and build reproducible pipelines.
Business Impact & Storytelling
- Translate complex analytical findings into clear, actionable insights that influence decision‑making at all levels.
- Present recommendations in a compelling narrative that resonates with both technical and non‑technical stakeholders.
- Lead discovery sessions to clarify business needs, define success metrics, and design analytical approaches that support business strategy.
Innovation & Best Practices
- Drive innovation in Data & AI through new techniques, experimentation frameworks, and reusable analytical assets.
- Establish and promote best practices in model development, MLOps, governance, and data quality.
- Stay current on emerging trends, regulations, and technologies; provide guidance on how to leverage them within the organization.
Leadership & Collaboration
- Serve as a subject matter expert for stakeholders across the enterprise.
- Partner with cross‑functional teams—including Engineering, Product, and Business—to deliver solutions that scale.
- Lead or contribute to strategic initiatives, roadmaps, and business cases that support the organization’s data and AI vision.
- Mentor and guide other data scientists; contribute to internal training, tools, and knowledge‑sharing.
Execution & Change Leadership
- Manage complex, ambiguous problems by structuring analytical approaches and selecting appropriate modeling techniques.
- Lead change management and communication efforts associated with analytics initiatives.
- Implement processes and controls that ensure high‑quality, consistent delivery of analytical work.
Qualifications
- 7+ years of relevant experience in data science, machine learning, or applied analytics.
- Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics, or related quantitative field—or equivalent experience.
- Proven track record of shipping models to production and maintaining them at scale.
- Expertise in machine learning and deep learning algorithms and frameworks.
- Proficiency in Python and SQL; experience with R, SAS, or other analytical tools is a plus.
- Experience with distributed computing technologies (Hive, Hadoop, Spark) and cloud ML platforms (AWS SageMaker, Azure ML, etc.).
- Strong communication, storytelling, and influence skills; able to drive alignment across diverse groups.
- Demonstrated ability to operate in ambiguity, make data-driven decisions, and solve complex, open-ended problems.
- Experienced collaborator with deep cross-functional partnership skills and ownership mindset.
Salary:
$122,400.00 - $228,000.00
Pay Type:
Salaried
The above represents BMO Financial Group’s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.
BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.
BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
Senior Data Science Engineer Job Roles in Illinois
See all 137+ Senior Data Science Engineer Jobs in Illinois
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Search Senior Data Science Engineer Jobs in IllinoisSenior Data Science Engineer Jobs in Illinois: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in Illinois?
Chicago-based employers across finance, healthcare, and technology are among the most active sponsors for senior data science engineers in Illinois. Companies like Motorola Solutions, Morningstar, Zebra Technologies, and major financial institutions including trading firms and insurance companies have consistent H-1B filing histories for senior-level data science roles. Large healthcare systems and management consulting firms headquartered in Chicago also appear frequently in Department of Labor disclosure data for this job category.
Which visa types are most common for senior data science engineer roles in Illinois?
The H-1B is the most common visa category for senior data science engineers in Illinois, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in a specific technical field such as computer science, statistics, or engineering. Candidates already authorized under OPT or STEM OPT are also commonly hired at this level while H-1B sponsorship is arranged. The O-1A is an option for candidates with demonstrated distinction in the field.
Which cities in Illinois have the most senior data science engineer sponsorship jobs?
Chicago accounts for the overwhelming majority of senior data science engineer sponsorship jobs in Illinois, particularly in neighborhoods like the Loop, River North, and Fulton Market where many tech and finance employers are headquartered. Schaumburg and Downers Grove in the suburbs have notable employer presence as well. Champaign-Urbana is a secondary market, driven by the University of Illinois and affiliated research spinouts, though senior-level openings there are significantly fewer.
How to find senior data science engineer visa sponsorship jobs in Illinois?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to search for senior data science engineer roles in Illinois without manually screening hundreds of postings. Because sponsorship willingness is not always stated in job descriptions, Migrate Mate's approach of surfacing employers with verified H-1B filing histories is particularly useful for senior-level candidates who need certainty before investing time in an application process.
Are there any Illinois-specific considerations for senior data science engineers seeking visa sponsorship?
Illinois employers filing Labor Condition Applications for senior data science engineers must pay at least the prevailing wage for the role and location, as determined by Department of Labor wage surveys. Chicago's prevailing wages for senior-level data science positions tend to reflect a competitive metropolitan market. Candidates with advanced degrees from University of Illinois campuses may also benefit from cap-exempt employer pathways if working with affiliated research institutions, though direct industry roles still go through the standard H-1B process.
What is the prevailing wage for sponsored senior data science engineer jobs in Illinois?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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