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Statistical Data Jobs in Missouri (NOW HIRING)

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... Engineering, Social Science, or Statistics) * Must have two (2+) years of experience with ...

Develop basic statistical visualizations to highlight multi-dimensional correlations within data. * Seek feedback from senior team members and business groups for improving data analysis processes.

Develop basic statistical visualizations to highlight multi-dimensional correlations within data. * Seek feedback from senior team members and business groups for improving data analysis processes.

This is a hands-on role that pairs disciplined statistics and process knowledge with modern AI ... Perform data visualization and statistical analysis to reduce waste, improve availability and ...

Build high-quality analytics systems that solve our customers' business problems using techniques from data mining, statistics, and machine learning * Write clean, collaborative, and version ...

The Data Scientist is expected to prototype and design to the goals of functionality and ... Performance of statistical analysis to interpret experimental results * Design experimental methods ...

Develop and implement statistical and machine learning models to solve business problems within a cross-functional team * Collaborate with senior data scientists to fine-tune, optimize and ensure the ...

Description bioMerieux's Data Science group is looking for an experienced Data Scientist to help ... Performance of statistical analysis to interpret experimental results * Design experimental methods ...

The Data Scientist is expected to prototype and design to the goals of functionality and ... Performance of statistical analysis to interpret experimental results * Design experimental methods ...

Hydraulic Data Technician / Environmental Data Analyst Help turn complex environmental data into ... Apply mathematics, basic statistics, and hydraulic principles to evaluate flow monitoring results.

Hydraulic Data Technician / Environmental Data Analyst Help turn complex environmental data into ... Apply mathematics, basic statistics, and hydraulic principles to evaluate flow monitoring results.

Hydraulic Data Technician / Environmental Data Analyst Help turn complex environmental data into ... Apply mathematics, basic statistics, and hydraulic principles to evaluate flow monitoring results.

Data Architect

Saint Louis, MO · On-site

$57.75 - $74.25/hr

Data Architect Location: St. Louis, MO Clearance: TS/SCI Citizenship: US Citizenship Required ... Compare and analyze provided statistical information to identify patterns, relationships, and ...

Performs regular statistical data research of VA certifications, invoices and overall portfolios for each of these campus centers. Engages with University staff to educate on VA debts and VA ...

Data Architect

Saint Louis, MO · On-site

$57.75 - $74.25/hr

Data Architect Location: St. Louis, MO Clearance: TS/SCI Citizenship: US Citizenship Required ... Compare and analyze provided statistical information to identify patterns, relationships, and ...

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop ... Performance of statistical analysis to interpret experimental results * Design experimental methods ...

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop ... Performance of statistical analysis to interpret experimental results * Design experimental methods ...

Showing results 21-40

Statistical Data information

What are the key skills and qualifications needed to thrive as a statistical data analyst, and why are they important?

To thrive as a Statistical Data Analyst, you need strong quantitative skills, expertise in statistics, and a relevant degree such as mathematics, statistics, or data science. Proficiency with tools like R, Python, SQL, and statistical software (e.g., SPSS, SAS) as well as data visualization platforms is typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret data accurately and share insights with stakeholders. These competencies ensure reliable data analysis, support evidence-based decisions, and drive organizational success.

What are some common challenges faced by professionals working in statistical data roles, and how can they be addressed?

Professionals in statistical data roles often encounter challenges such as managing large, complex datasets, ensuring data quality, and effectively communicating statistical findings to non-technical stakeholders. Dealing with incomplete or inconsistent data is common, and requires strong analytical and problem-solving skills to clean and validate information. Collaborating closely with cross-functional teams, staying updated on the latest statistical software, and developing clear data visualization skills can help address these challenges and enhance the impact of your work.

What is the difference between Statistical Data vs Data Analyst?

AspectStatistical DataData Analyst
Required CredentialsNone specific; often involves understanding data collectionBachelor's degree in statistics, data science, or related field
Work EnvironmentData collection, storage, and management environmentsAnalyzing data, creating reports, and visualizations
Industry UsageUsed across industries for data collection and storageApplied in business, finance, healthcare, and more for insights
Search & Comparison IntentUnderstanding raw data types and sourcesComparing roles focused on data analysis and interpretation

Statistical Data refers to raw or processed data used for analysis, while Data Analyst is a professional role that interprets and visualizes this data to support decision-making. Both are integral to data-driven industries but serve different functions within the data lifecycle.

What is a statistical data analyst?

Statistical data analysts are professionals who collect, process, and interpret quantitative data to help organizations make informed decisions. They use statistical techniques and software tools to analyze datasets, identify trends, and solve problems. Their work is crucial in fields such as business, healthcare, government, and research, where data-driven insights are essential. Statistical data analysts often present their findings in reports or visualizations to guide strategic planning.
What are popular job titles related to Statistical Data jobs in Missouri? For Statistical Data jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Statistical Data jobs in Missouri look for? The top searched job categories for Statistical Data jobs in Missouri are:
What cities in Missouri are hiring for Statistical Data jobs? Cities in Missouri with the most Statistical Data job openings:

Faculty in Statistics and Data Science- Open Rank

Washington University in St Louis Danforth Campus

Saint Louis, MO • On-site

Full-time

Posted 2 days ago

New


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.
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