Data Scientist Visa Sponsorship Jobs in Kansas
Data scientist visa sponsorship jobs in Kansas are concentrated in the Kansas City metro area, with employers like Cerner (now Oracle Health), Garmin, and Sprint (now T-Mobile) leading technology hiring. Wichita's aerospace and manufacturing sectors also generate data-focused roles, while the University of Kansas and Kansas State University create steady graduate pipelines into the state's research and analytics market.
See All Data Scientist JobsOverview
Showing 5 of 10+ Data Scientist Jobs in Kansas with Visa Sponsorship jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 10+ Data Scientist Jobs in Kansas with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Scientist Jobs in Kansas with Visa Sponsorship.
Get Access To All JobsSummary
The Data Scientist will play a pivotal role in shaping the data strategy and driving data-driven decision-making processes within the organization. This position requires a visionary data scientist who collaborates with cross-functional teams, leveraging advanced analytical techniques to solve complex business problems. The ideal candidate will have a strong background in data science, excellent interpersonal skills, and a passion for innovation.
Duties & Responsibilities
- Collaborate with stakeholders to identify business challenges and opportunities that can be addressed through data science to improve key business outcomes.
- Design, develop, and implement advanced statistical models and machine learning algorithms to extract insights from large datasets.
- Oversee the end-to-end data science project lifecycle, from data collection and preprocessing to model deployment and monitoring.
- Communicate complex analytical concepts and results to non-technical stakeholders in a clear and concise manner.
- Stay abreast of the latest industry trends and advancements in data science and incorporate them into the team’s work.
- Collaborate with IT and data engineering teams to integrate data science solutions into existing systems and workflows.
- Partner with Innovation and Digital transformation teams to architect and build analytics engines capable of driving real-time personalized insights using analytic models.
- Apply machine learning models and AI to help mitigate fraud at the credit union.
- Leverage generative AI capabilities and apply solutions to address complex business problems.
- Perform other duties as assigned.
Requirements
Education and Experience Requirements:
- Undergraduate or advanced degree in Mathematics, Statistics, Computer Science, or a related field.
- Knowledge and experience in applying statistical and machine learning methods including regression, classification, clustering, decision trees, and neural networks.
- 3-5 years’ experience in developing, deploying, and managing analytical and machine learning models in a production environment.
- Proven track record of successfully leading data science projects from conception to completion.
Required Knowledge, Skills And Abilities
- Natural sense of curiosity; being able to self-motivate and proactively find unique or actionable insights and solutions leveraging data.
- Ability to understand business needs and become a leader in enabling data-driven business decisions while also having the ability to work successfully in a team environment.
- Extensive experience with machine learning frameworks and libraries (e.g., Scikit-learn, XGBoost).
- Extensive experience in a statistical programming language such as Python.
- Experience with building machine learning and AI models in a cloud environment preferably using Databricks and Azure Foundry.
- Excellent problem-solving skills and the ability to think critically and strategically.
- Comfortable working in a dynamic environment with multiple concurrent projects.
- Ability to visualize in advance rough requirements and process necessary to implement new production data science applications.
- Strong communication skills with the ability to present ideas and concepts to diverse audiences.
- Familiarity and experience working with relational databases and SQL.
Preferred Knowledge, Skills And Abilities
- Data science experience in the financial/banking sector.
- Experience with development tools including Jupyter, PyCharm, VS Code, OpenAI/ChatGPT, Azure DevOps, Jenkins, and Docker.
- Experience with Microsoft Azure cloud environment leveraging ADLS, SQL Server, Cosmos, Azure Foundry, Copilot, Cognitive Search, Databricks, and AKS.
- Experience with notable packages/technologies including LLaVA, XGBoost, scikit-learn, Pandas, Spark, and GraphQL.
- Familiarity with building data pipelines using unstructured and non-relational data stores.
- Experience writing SQL and developing REST APIs.
Summary
The Data Scientist will play a pivotal role in shaping the data strategy and driving data-driven decision-making processes within the organization. This position requires a visionary data scientist who collaborates with cross-functional teams, leveraging advanced analytical techniques to solve complex business problems. The ideal candidate will have a strong background in data science, excellent interpersonal skills, and a passion for innovation.
Duties & Responsibilities
- Collaborate with stakeholders to identify business challenges and opportunities that can be addressed through data science to improve key business outcomes.
- Design, develop, and implement advanced statistical models and machine learning algorithms to extract insights from large datasets.
- Oversee the end-to-end data science project lifecycle, from data collection and preprocessing to model deployment and monitoring.
- Communicate complex analytical concepts and results to non-technical stakeholders in a clear and concise manner.
- Stay abreast of the latest industry trends and advancements in data science and incorporate them into the team’s work.
- Collaborate with IT and data engineering teams to integrate data science solutions into existing systems and workflows.
- Partner with Innovation and Digital transformation teams to architect and build analytics engines capable of driving real-time personalized insights using analytic models.
- Apply machine learning models and AI to help mitigate fraud at the credit union.
- Leverage generative AI capabilities and apply solutions to address complex business problems.
- Perform other duties as assigned.
Requirements
Education and Experience Requirements:
- Undergraduate or advanced degree in Mathematics, Statistics, Computer Science, or a related field.
- Knowledge and experience in applying statistical and machine learning methods including regression, classification, clustering, decision trees, and neural networks.
- 3-5 years’ experience in developing, deploying, and managing analytical and machine learning models in a production environment.
- Proven track record of successfully leading data science projects from conception to completion.
Required Knowledge, Skills And Abilities
- Natural sense of curiosity; being able to self-motivate and proactively find unique or actionable insights and solutions leveraging data.
- Ability to understand business needs and become a leader in enabling data-driven business decisions while also having the ability to work successfully in a team environment.
- Extensive experience with machine learning frameworks and libraries (e.g., Scikit-learn, XGBoost).
- Extensive experience in a statistical programming language such as Python.
- Experience with building machine learning and AI models in a cloud environment preferably using Databricks and Azure Foundry.
- Excellent problem-solving skills and the ability to think critically and strategically.
- Comfortable working in a dynamic environment with multiple concurrent projects.
- Ability to visualize in advance rough requirements and process necessary to implement new production data science applications.
- Strong communication skills with the ability to present ideas and concepts to diverse audiences.
- Familiarity and experience working with relational databases and SQL.
Preferred Knowledge, Skills And Abilities
- Data science experience in the financial/banking sector.
- Experience with development tools including Jupyter, PyCharm, VS Code, OpenAI/ChatGPT, Azure DevOps, Jenkins, and Docker.
- Experience with Microsoft Azure cloud environment leveraging ADLS, SQL Server, Cosmos, Azure Foundry, Copilot, Cognitive Search, Databricks, and AKS.
- Experience with notable packages/technologies including LLaVA, XGBoost, scikit-learn, Pandas, Spark, and GraphQL.
- Familiarity with building data pipelines using unstructured and non-relational data stores.
- Experience writing SQL and developing REST APIs.
Data Scientist Job Roles in Kansas
See all 10+ Data Scientist Jobs in Kansas
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Scientist Jobs in KansasData Scientist Jobs in Kansas: Frequently Asked Questions
Which companies sponsor visas for data scientists in Kansas?
The most active visa sponsors for data scientists in Kansas include Oracle Health (formerly Cerner) in the Kansas City metro, Garmin's technology division, and major healthcare networks like the University of Kansas Health System. Wichita-area aerospace firms such as Spirit AeroSystems and Textron Aviation also hire for data and analytics roles, particularly for manufacturing intelligence and operational analytics positions.
Which visa types are most common for data scientist roles in Kansas?
The H-1B is the most common visa category for data scientists in Kansas, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant technical field such as statistics, computer science, or applied mathematics. Some employers also sponsor EB-2 or EB-3 green card petitions for longer-term hires. Australians may also qualify through the E-3 visa, which has no lottery and allows faster entry.
Which cities in Kansas have the most data scientist sponsorship jobs?
The Kansas City metro area, straddling the Kansas-Missouri border with major employment centers in Overland Park and Lenexa, accounts for the large majority of data scientist sponsorship activity in the state. Wichita is the second-largest hub, driven by aerospace, manufacturing, and regional healthcare employers. Lawrence, home to the University of Kansas, also produces some research-adjacent data roles, though sponsorship volume there is lower.
How to find data scientist visa sponsorship jobs in Kansas?
Migrate Mate is the most direct way to find data scientist visa sponsorship jobs in Kansas. The platform filters specifically for roles where employers have a documented history of sponsoring work visas, so you're not spending time applying to companies that won't support your application. Focus your search on the Kansas City metro area and filter by industry to surface opportunities in healthcare technology, aerospace, and enterprise software.
Are there any state-specific considerations for data scientists seeking visa sponsorship in Kansas?
Kansas employers sponsoring H-1B data scientists must comply with Department of Labor prevailing wage requirements for the specific metro area, which differ between the Kansas City metro and Wichita markets. The University of Kansas and Kansas State University are cap-exempt institutions, meaning they can file H-1B petitions outside the annual lottery window. Candidates with graduate degrees in data science or statistics from these universities may also have stronger ties to local employers already familiar with sponsorship processes.
What is the prevailing wage for sponsored data scientist jobs in Kansas?
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.
See which data scientist employers are hiring and sponsoring visas in Kansas right now.
Search Data Scientist Jobs in Kansas