Data Scientist Jobs in Missouri
Data Scientist jobs in Missouri are consistently active, with strong demand concentrated in financial services, healthcare analytics, insurance, and logistics technology across the state. Kansas City and St. Louis anchor most hiring, supported by established employers such as Cerner (Oracle Health), Centene Corporation, and Edward Jones. The most sought-after specializations include machine learning engineering, predictive modeling for healthcare and insurance, and business intelligence development at the senior and mid-level. Find a role that fits below and apply directly.
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Driven by integrity and united by the people-and-pet bond, we find strong purpose in the work we do and an even greater joy in those we get to work alongside. Together, we harness the expertise of our long-standing tradition of excellence to embrace possibility and continuously push to do what's never been done before in pet care. Discover your purpose and fuel your passions when you bring your love of pets to a team that prides itself on the power of togetherness—We are Proudly Connected. Purely Driven.
Position Summary
Digital Transformation is at the center of all that we do. With data-driven innovators passionate about making a difference in the lives of pets, we create cutting-edge digital business models that solve complex problems. You’ll be at the forefront of digital advancements as they happen in real time, as well as ensure we remain a leader and innovator in the pet care category. Have a hand in making a lasting impact within our long-standing history.
As a Senior Commercial Data Scientist at Nestlé Purina, you'll apply data science, machine learning, and emerging AI capabilities to solve important commercial and marketing challenges. You'll bring a consumer lens to your work, partnering closely with marketing, brand, sales, and other commercial teams to turn business questions into analytical solutions and measurable outcomes. You'll combine hands-on data science experience with an understanding of how data and analytics are used across commercial areas such as consumer engagement, media, personalization, pricing and promotion, and digital commerce.
- Serve as a hands-on data science consultant to brand, marketing, sales, and category teams, working directly with business partners to understand challenges, shape ambiguous problems, identify analytical opportunities, and translate commercial priorities into data science and AI solutions that change how work gets done
- Design, develop, validate, and implement statistical, predictive modeling, machine learning, and AI solutions to solve complex consumer-facing, go-to-market, and other commercial and marketing business problems
- Explore and apply Generative AI capabilities to commercial and marketing opportunities, working with other technical experts when specialized architecture or engineering expertise is needed
- Work within established AIOps/MLOps, monitoring, and model-governance practices to help move solutions from experimentation into production
- Leverage and contribute to reusable frameworks, tools, and best practices that help accelerate development and scale successful solutions
- Share knowledge with other data scientists and stay current on emerging AI and analytics approaches relevant to commercial and marketing applications
Requirements
- Bachelor's degree in Data Science, Marketing Analytics, Applied Statistics, Economics, Computer Science, or a related field
- 2+ years of experience working directly with business stakeholders to translate ambiguous business problems into analytical approaches and communicate technical findings in clear, business-relevant terms
- 5+ years of professional experience, including 3+ years applying data science, advanced analytics, or machine learning to business problems focused on marketing, consumer, commercial, e-commerce, sales, or related customer-facing business problems
Other
- Master's or PhD in Data Science, Applied Statistics, Marketing Analytics, Economics, Computer Science, Business Administration or a related field is preferred
- Experience operationalizing AI solutions through AIOps/MLOps frameworks, model governance, and enterprise AI lifecycle management
Don’t meet all the qualifications listed under “other”? These are preferred, but not required. When you apply for a role with Nestlé Purina, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.
Salary: $118,422 to $166,343 per year
Bonus Eligibility: Yes
The pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. It is not typical for an individual to be hired at top of range.
Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more at https://www.nestlejobs.com/nestle-in-the-us-benefits
It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.
The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.
This position is not eligible for Visa Sponsorship.
Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.
Job Requisition: 425164
See All 14 Data Scientist Jobs in Missouri
Find roles in Missouri that match your experience and apply in just a few clicks.
Find Data Scientist JobsData Scientist Jobs by City in Missouri
Where Missouri roles are concentrated, by current openings.
Data Scientist Job Market in Missouri
A snapshot from current Missouri openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
What Missouri Employers Look For
The qualifications that appear most often in data scientist jobs across Missouri.
- Bachelor's or master's degree in data science, statistics, computer science, or a related field
- Proficiency in Python or R for statistical analysis and machine learning model development
- Experience with SQL and large-scale data warehousing platforms such as Snowflake or Redshift
- Demonstrated ability to build and deploy predictive models in a production environment
- Familiarity with data visualization tools such as Tableau, Power BI, or Looker
- Strong communication skills to present analytical findings to non-technical business stakeholders
Data Scientist Jobs in Missouri: Frequently Asked Questions
How do you become a data scientist in Missouri?
Missouri does not require a state-issued license or registration to work as a data scientist. The typical path is a bachelor's degree in data science, statistics, mathematics, or computer science, followed by a master's degree for more competitive roles. Missouri universities such as Washington University in St. Louis, the University of Missouri, and Missouri University of Science and Technology offer relevant graduate programs. Building a portfolio of applied projects significantly strengthens candidacy with Missouri employers.
How much do data scientists make in Missouri?
Data scientists in Missouri earn a median of about $97,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $58,960 for the lowest 10% to over $151,380 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data scientists in Missouri?
Companies currently hiring data scientists in Missouri include Tiger Analytics, Leidos, and Nestlé Purina, per current listings on Migrate Mate as of November 2026. Missouri's concentration of large healthcare, insurance, and financial services firms means demand is particularly consistent in those sectors year-round.
Which Missouri cities have the most data scientist jobs?
St. Louis, St Louis, and Earth City have the most data scientist openings in Missouri. Kansas City drives volume through its large financial services, insurance, and technology corridor, while St. Louis benefits from major healthcare systems, bioscience companies, and the regional headquarters of firms like Centene and Edward Jones that maintain substantial analytics teams.
Are there remote data scientist jobs in Missouri?
Yes, and more than most fields. About 50% of data scientist openings tied to Missouri are remote or hybrid as of November 2026, reflecting the desk-based and analytical nature of the work. Roles focused on modeling, reporting, and business intelligence tend to be the most remote-friendly, while positions requiring close collaboration with clinical or operations teams are more likely to require on-site presence.
How can I get hired as a data scientist in Missouri with little or no experience?
The most realistic entry path is through an analyst or junior data analyst role, then transitioning once you have demonstrated modeling work. Large Missouri employers in healthcare and insurance, including major hospital systems and regional insurers based in Kansas City and St. Louis, regularly hire data or business analysts with strong SQL and Python skills as stepping stones. A portfolio of completed projects, contributions to open-source work, or a graduate certificate from a Missouri university program can move a candidate from overlooked to shortlisted.
Where can I find and apply to data scientist jobs in Missouri?
You can find and apply to data scientist jobs in Missouri on Migrate Mate, which lists current openings from Missouri employers. Find roles that fit your background and apply directly to the ones that match.
See All 14 Data Scientist Jobs in Missouri
Find roles in Missouri that match your experience and apply in just a few clicks.
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