ZipRecruiter

Log In

1

Data Science Associate Jobs in Missouri (NOW HIRING)

Nestle

Data Scientist

Saint Louis, MO · On-site

$88K - $123K/yr

Bachelor's degree from an accredited institution in Data Science, Computer Science, Statistics ... We consider our associates our most valuable assets. Please apply for full consideration. The ...

Walmart

(USA) Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

You will work closely with agentic AI teams to build the data science capabilities, measurement ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Principal, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

You will work closely with agentic AI teams to build the data science capabilities, measurement ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Principal, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

You will work closely with agentic AI teams to build the data science capabilities, measurement ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Walmart

(USA) Senior Manager, Data Science

Anderson, MO · On-site

$110K - $220K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

(USA) Senior Manager, Data Science

Noel, MO · On-site

$110K - $220K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

(USA) Senior Manager, Data Science

Cassville, MO · On-site

$110K - $220K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

previous page

Showing results 41-60

All JobsData Science Associate JobsData Science Associate Jobs in Missouri

Data Science Associate information

See Missouri salary details

$53.9K

$63.8K

$121K

How much do data science associate jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science associate in Missouri is $63,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $55,800.00 per year, depending on experience, location, and employer.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Missouri? The most popular types of Data Science jobs in Missouri are:
What are popular job titles related to Data Science Associate jobs in Missouri? For Data Science Associate jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Missouri look for? The top searched job categories for Data Science Associate jobs in Missouri are:
What cities in Missouri are hiring for Data Science Associate jobs? Cities in Missouri with the most Data Science Associate job openings:
Data Science Associate jobs near you

Faculty in Statistics and Data Science- Open Rank

Washington University in St Louis Danforth Campus

Saint Louis, MO • On-site

Full-time

Posted 9 days ago

Job description

Description
The Department of Statistics and Data Science at Washington University in St. Louis has multiple openings for tenure-track positions at the rank of Assistant, Associate, or Full Professor, to begin in 2027, with particular interest in candidates who advance the university's broader +AI initiative. The department supports foundational research as well as transdisciplinary research. Successful candidates will join a rich intellectual community of AI practitioners and subject matter experts utilizing AI methods to solve society's greatest challenges.
We invite applications from candidates with expertise and interest in statistics and data science, broadly defined. We are especially interested in candidates whose research advances one or more of the four thematic areas of WashU's +AI initiative:
  • AI for Science and Engineering: Modeling the Physical World. Fundamental AI and computational methodology that advances modeling, simulating, and reasoning about physical systems. This includes physical AI coupled with domain knowledge (climate, materials, digital twins) and AI-accelerated scientific discovery (structural biology, astrophysics, quantum systems). We particularly welcome scholars who can leverage AI to bridge information across temporal and spatial scales.

  • AI-Driven Imaging Science: Imaging from Molecules to the Universe. Advancement of foundation models, generative modeling, and inverse problem methods across scales from the biomedical to the geophysical, with applications spanning biomedical sensing, biodiversity and environmental monitoring, the built environment, and population health and food security.

  • Agentic AI: Governance, Society, and Institutions. Modeling how AI agents behave at scale in complex social and economic systems, including multi-agent dynamics, organizational adaptation to agentic systems, and the reshaping of labor, decision-making, and accountability in complex institutions. We welcome applications that engage high-stakes contexts leveraging existing WashU strengths, such as population health, democracy, or biotechnology.

  • Human Values, Creative Practice, and AI. Statistical and computational foundations of generative AI systems, and quantitative approaches to studying human interaction with AI, including questions of authorship, creativity, and the human implications of generative systems.

Candidates selected under the +AI initiative will be invited to participate in a university-wide workshop in one of these four identified areas and to be an active member of the intellectual community forming around that topic.
Duties will include teaching and student mentoring at the undergraduate and the graduate levels, conducting and maintaining a strong research program, and participating in department and university service.
Qualifications
A Ph.D. in Statistics or a relevant field in data science is required. Candidates for the rank of Associate or Full Professor should have outstanding teaching, service, and research record commensurate with tenure at that rank.
Application Instructions
Application materials should include a CV, list of publications, research statement, teaching statement, and three or four letters of recommendation. Applicants are recommended to include copies of past teaching evaluations along with their teaching statements. Applicants and reference letter writers should submit the required materials via Interfolio. The department will review applications regularly from October 15, 2026, but applications completed prior to November 15, 2026 will receive full consideration. Consideration after that date will be at the discretion of the department.
Each year Washington University publishes a Safety and Security brochure that details what to do and whom to contact in an emergency. This report also publishes the federally required annual security and fire safety reports, containing campus crime and fire statistics as well as key university policies and procedures. You may access the Safety and Security brochure at https://police.wustl.edu/clery-reports-logs.

Apply