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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and 6 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research.
$158,960 - $303,830 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Assist with data entry, data validation, and data corrections as needed to ensure accuracy and completeness of HR data. Manage user access, security roles, and permissions to ensure data integrity and compliance with regulatory requirements.
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Completed doctoral degree in Public Health, Biostatistics, Epidemiology, Exercise Science, Kinesiology, or closely related areas. The postdoctoral (postdoc) researcher (postdoc; 1 year with possibility of 1-year renewal): An additional postdoc is needed for the NIH-funded R01 SkyRoCKeT study to support and perform data collection, processing, management, checking, and analysis.
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BS/BA in Statistics, Mathematics, Operations Research, Management Science, Computer Science, or a related technical field, OR BS/BA in Criminal Justice, Economics, Business, or a related business field.
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Associate of Arts or Associate of Science degree via the North Carolina College Transfer Program (NC-CTP) Four-year degree OR CCUE Certification OR Associate of Arts or Associate of Science degree via the North Carolina College Transfer Program (NC-CTP.
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We are seeking a part-time High School Science teacher to teach in a classical and Catholic classroom for 12 hours per week at our location in Charlotte, NC. The right applicant may have experience homeschooling or working with homeschool children, ministry in your Catholic parish, teaching Religious Education or Catechism classes, teaching your own children, or perhaps teaching in a classical or private school (although not required.
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Keywords: Charlotte NC Jobs, Director, Financial Planning & Analysis, Business Intelligence, PowerBI, Enterprise Scale Dashboards, Reports, Scorecards, Data Sets, Statistical Models, Data Visualization, KPI, Key Performance Indicators, Restaurant Industry, North Carolina Recruiters, IT Jobs, North Carolina RecruitingLooking to hire for similar positions in Charlotte, NC or in other cities.
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In-depth knowledge of data lake, data warehouse, data vault, data mesh, data marketplace and data science concepts. We are seeking enthusiastic and initiative-taking leaders who have a clear vision and an unwavering commitment to remain at the forefront of data technology and science.
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Hands-on experience with On-prem & cloud data platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, Databricks, AWS Aurora, Oracle Exadata, SQL server, Hadoop, Spark, SAS and R. Experience in Implementing tools and services in data security and data governance domains such as data modeling, data classification, data access control, data masking, data quality, metadata management, catalog, auditing, balancing, reconciliation, and data privacy compliance like GDPR & CCPA.
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Industry certifications and/or experience with cloud platforms and modern data center solutions such as AWS, GCP, Dell, HPE, NetApp, Nutanix, Hitachi, IBM, Etc. Cloud data or AI related Microsoft Associate or Expert certifications are a plus (examples: Azure Administrator Associate, Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Data Engineer Associate, Azure Solutions Architect Expert, Microsoft Cybersecurity Architect Expert or similar.
$134,900 - $192,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
data science jobs Title: chef Company: Dow in Charlotte, NC
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