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Live In Nhl Data Science Jobs in Missouri (NOW HIRING)

Menlo Ventures

Principal Data Scientist

California, MO · On-site

$200 - $260/hr

Represent Databricks as a data science thought leader at industry venues and in publications to attract top talent. * Methodology and standards. Define and evolve company-wide scientific ...

Brewer Science

Data Scientist

Rolla, MO · On-site

S. • Bachelor's degree in statistics, computer science, mathematics, or relevant field for Data Scientist I. • Experience with SQL or similar language preferred for Data Scientist I. • ...

Boeing

Experienced Data Scientist

Hazelwood, MO

Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge. * Communicate findings, insights, and ...

Boeing

Experienced Data Scientist

Hazelwood, MO · On-site

Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge. * Communicate findings, insights, and ...

Boeing

Experienced Data Scientist

Hazelwood, MO

Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge. * Communicate findings, insights, and ...

Boeing

Senior Data Scientist

Hazelwood, MO

Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge. * Communicate findings, insights, and ...

SwiftCruit

Scientist III, Data Sciences

Saint Louis, MO · On-site

$110 - $165/hr

In our collaborative environment, you'll develop and deploy sophisticated data science solutions that drive operational efficiencies and enhance decision-making capabilities. This role offers the ...

New

Boeing

Senior Data Scientist

Hazelwood, MO · On-site

Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge. * Communicate findings, insights, and ...

Boeing

Senior Data Scientist

Hazelwood, MO

Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge. * Communicate findings, insights, and ...

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All JobsLive In Nhl Data Science JobsLive In Nhl Data Science Jobs in Missouri

Live In Nhl Data Science information

What is the difference between Live In Nhl Data Science vs Live In Nhl Data Analysis?

AspectLive In Nhl Data ScienceLive In Nhl Data Analysis
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often in tech or sports analytics companiesOperational settings, sports teams, or media outlets focusing on game insights
Employer & Industry UsageTech firms, sports analytics companies, NHL organizationsSports teams, media outlets, NHL organizations

Live In Nhl Data Science involves advanced analytics, machine learning, and predictive modeling to analyze NHL data, while Live In Nhl Data Analysis focuses on interpreting data for insights, reporting, and decision-making. Both roles require familiarity with NHL data but differ in technical complexity and scope.

What are the most commonly searched types of Nhl Data Science jobs in Missouri? The most popular types of Nhl Data Science jobs in Missouri are:
Live In Nhl Data Science 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 4 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.

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