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.
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Get Access To All JobsRequisition ID 176283
Posted 10/23/2026
Marketing
United States
Kansas
Overland Park
Hill's Pet Nutrition
Travel - up to 10% of time
Remote
Relocation Assistance Offered Within Country
Job Number #176283 - Overland Park, Kansas, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
At Hill’s we have a purpose. Every day around the world, we transform the lives of millions of pet families through pioneering innovation, amazing nutrition, and the best and brightest people. If you’re interested in work that matters, fueled by passion for pets, we invite you to apply. Founded more than 75 years ago with an unwavering commitment to pet nutrition, Hills’ mission is to help enrich and lengthen the special relationships between people and their pets. Our decades of science and research guide us in creating nutrition that’s a step ahead so pets and pet parents can enjoy every day together. As the US #1 Veterinarian Recommended pet food brand, knowledge is our first ingredient with 220+ veterinarians, PhD nutritionists and food scientists working to develop breakthrough innovations in pet health.
Role Summary
The Manager, Data Science leads the end-to-end development, deployment, operationalization, and optimization of scalable advanced analytics, machine learning, and Generative AI solutions for the global marketing and sales organization while leveraging scalable data products. Reporting directly to the Director, Global Data Science, this role acts as a strategic analytics translator and change agent, bridging technical data science capabilities with commercial goals. Leveraging expertise to utilize cloud infrastructure, robust MLOps practices, and quantitative modeling, the Manager drives data-informed decision-making that delivers quantified value realization, directly accelerating global sales growth and pet care innovation.
Responsibilities
- Adopt a data product mindset to apply and utilize scalable data products within advanced analytics, defining, framing, and prioritizing complex commercial challenges into high-impact analytics roadmaps while serving as an analytics translator and advocate for data-driven decision-making to drive quantified value realization (e.g., direct P&L impact, measurable revenue uplift, and automated efficiency gains).
- Lead the end-to-end development, deployment, operationalization, and lifecycle management of predictive, machine learning, and Generative AI / Large Language Models (LLMs) to solve critical sales and marketing challenges across workflows for unstructured data, feature engineering, and automated insight generation.
- Help lay the foundation for MLOps practices, CI/CD pipelines, model monitoring, and governance frameworks to support model performance, reliability, and security as our AI/ML capabilities mature.
- Design, execute, and evaluate continuous experimentation protocols, including A/B testing and causal inference, to measure and improve commercial outcomes.
- Partner with cross-functional commercial leaders, external vendors, and IT/data engineering teams to leverage enterprise cloud data infrastructure (AWS/Azure) and ML tooling as we mature our cloud environment.
- Build and automate interactive reporting dashboards using platforms such as Tableau, Domo, or Google Data Studio to deliver actionable insights to non-technical stakeholders.
- Drive change management and user adoption strategies, partnering closely with business stakeholders to transition AI capabilities into everyday commercial operations.
Required Qualifications
- Bachelor’s Degree in Data Science, Statistics, Computer Science, Business Analytics, or a related quantitative field.
- 5+ years of experience in applied data analytics, data science, quantitative programming, or a related field.
- Hands-on proficiency with SQL and Python or R for statistical modeling and predictive analytics.
- Experience designing and executing A/B testing frameworks and applying modern Generative AI techniques, Large Language Models (LLMs), and prompt engineering/fine-tuning in enterprise settings.
- Proven experience utilizing enterprise cloud platforms and data infrastructure (e.g., AWS, Azure, Google Cloud Platform, Snowflake).
- Familiarity with SAP, customer analytics within CPG/Retail.
Preferred Qualifications
- Master’s Degree in a quantitative discipline.
- Demonstrated ability to manage ambiguity, lead project timelines independently, apply change management techniques to drive user adoption, and translate complex technical findings to non-technical executive audiences.
- Proven track record of operating with a data product mindset and delivering measurable ROI and quantified value realization across commercial analytics initiatives.
- Familiarity with model deployment, integration, and foundational MLOps principles using modern data architecture, containerization, and workflow orchestration tools to support model stability and monitoring.
Compensation and Benefits
- Salary Range $124,000.00 - $174,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
LI-Remote
Requisition ID 176283
Posted 10/23/2026
Marketing
United States
Kansas
Overland Park
Hill's Pet Nutrition
Travel - up to 10% of time
Remote
Relocation Assistance Offered Within Country
Job Number #176283 - Overland Park, Kansas, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
At Hill’s we have a purpose. Every day around the world, we transform the lives of millions of pet families through pioneering innovation, amazing nutrition, and the best and brightest people. If you’re interested in work that matters, fueled by passion for pets, we invite you to apply. Founded more than 75 years ago with an unwavering commitment to pet nutrition, Hills’ mission is to help enrich and lengthen the special relationships between people and their pets. Our decades of science and research guide us in creating nutrition that’s a step ahead so pets and pet parents can enjoy every day together. As the US #1 Veterinarian Recommended pet food brand, knowledge is our first ingredient with 220+ veterinarians, PhD nutritionists and food scientists working to develop breakthrough innovations in pet health.
Role Summary
The Manager, Data Science leads the end-to-end development, deployment, operationalization, and optimization of scalable advanced analytics, machine learning, and Generative AI solutions for the global marketing and sales organization while leveraging scalable data products. Reporting directly to the Director, Global Data Science, this role acts as a strategic analytics translator and change agent, bridging technical data science capabilities with commercial goals. Leveraging expertise to utilize cloud infrastructure, robust MLOps practices, and quantitative modeling, the Manager drives data-informed decision-making that delivers quantified value realization, directly accelerating global sales growth and pet care innovation.
Responsibilities
- Adopt a data product mindset to apply and utilize scalable data products within advanced analytics, defining, framing, and prioritizing complex commercial challenges into high-impact analytics roadmaps while serving as an analytics translator and advocate for data-driven decision-making to drive quantified value realization (e.g., direct P&L impact, measurable revenue uplift, and automated efficiency gains).
- Lead the end-to-end development, deployment, operationalization, and lifecycle management of predictive, machine learning, and Generative AI / Large Language Models (LLMs) to solve critical sales and marketing challenges across workflows for unstructured data, feature engineering, and automated insight generation.
- Help lay the foundation for MLOps practices, CI/CD pipelines, model monitoring, and governance frameworks to support model performance, reliability, and security as our AI/ML capabilities mature.
- Design, execute, and evaluate continuous experimentation protocols, including A/B testing and causal inference, to measure and improve commercial outcomes.
- Partner with cross-functional commercial leaders, external vendors, and IT/data engineering teams to leverage enterprise cloud data infrastructure (AWS/Azure) and ML tooling as we mature our cloud environment.
- Build and automate interactive reporting dashboards using platforms such as Tableau, Domo, or Google Data Studio to deliver actionable insights to non-technical stakeholders.
- Drive change management and user adoption strategies, partnering closely with business stakeholders to transition AI capabilities into everyday commercial operations.
Required Qualifications
- Bachelor’s Degree in Data Science, Statistics, Computer Science, Business Analytics, or a related quantitative field.
- 5+ years of experience in applied data analytics, data science, quantitative programming, or a related field.
- Hands-on proficiency with SQL and Python or R for statistical modeling and predictive analytics.
- Experience designing and executing A/B testing frameworks and applying modern Generative AI techniques, Large Language Models (LLMs), and prompt engineering/fine-tuning in enterprise settings.
- Proven experience utilizing enterprise cloud platforms and data infrastructure (e.g., AWS, Azure, Google Cloud Platform, Snowflake).
- Familiarity with SAP, customer analytics within CPG/Retail.
Preferred Qualifications
- Master’s Degree in a quantitative discipline.
- Demonstrated ability to manage ambiguity, lead project timelines independently, apply change management techniques to drive user adoption, and translate complex technical findings to non-technical executive audiences.
- Proven track record of operating with a data product mindset and delivering measurable ROI and quantified value realization across commercial analytics initiatives.
- Familiarity with model deployment, integration, and foundational MLOps principles using modern data architecture, containerization, and workflow orchestration tools to support model stability and monitoring.
Compensation and Benefits
- Salary Range $124,000.00 - $174,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
LI-Remote
Data Scientist Job Roles in Kansas
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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 visa 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.