7 data scientist jobs at 6 companies in Sullivan, MO
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Data Scientist, Mid
Arnold, Missouri, United States
OnsiteFull Time
GRVTY: Develops defense technology, cyber, and intelligence software solutions.
5+ YOEUS citizen with TS/SCI and ability to obtain CI Polygraph,5+ years experience,Python,Pandas,Geopandas,databases,API integration,cloud data management,GEOINT expertise,AI/ML experience
GRVTY: Develops defense technology, cyber, and intelligence software solutions.
18+ YOEMust be US citizen with TS/SCI and CI Polygraph, 18 years' experience with a Bachelor's, expert Python, Pandas/Geopandas, EM automation, database and API integration, GEOINT domain knowledge.
CitiNYSE: C: Global diversified financial services holding.
5+ YOE5+ years in data and business analysis, statistical modeling, geospatial analysis (desktop GIS: ESRI, MapInfo), strong communication, project management, and degree in quantitative field or equivalent experience.
Land O'Lakes: A member-owned cooperative providing agricultural supplies and dairy products.
2+ YOEMaster's in Computer Science/Engineering/Data Science and 2+ years as a data scientist/engineer; experience with Python, R, SQL/Scala, Power platform, Azure, VB6, SSAS/SSIS/SSRS, and data pipeline/ML model development.
ETL tools, SQL Databases, Data Warehousing, Data Modeling, Python, R, SQL, Scala, Power BI, Power Automate, Power Apps, Power Pivot, Microsoft Fabric, VB6, Azure Functions, Data Lake, APIs, SSAS, SSIS, SSRS, T-SQL
Brewer Science: An innovator of high-technology solutions for the semiconductor and microelectronics markets.
Technical lead for R&D designing and conducting lab experiments, data analysis, documentation, safety compliance, project leadership, collaboration, and communicating results; requires advanced degree or equivalent experience.
BayerFrankfurt Stock Exchange: BAYN: Global enterprise focused on healthcare and nutrition.
Ph.D. in biology/genomics/computational field, experience with next-generation sequencing library prep and transcriptomics analysis, familiarity with spatial transcriptomics and programming in Python/R, and strong data-analysis skills.