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Bachelor’s degree preferred in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronic Engineering, Mathematics, Statistics, Data Science, or similar/related Engineering/Science based disciplines.
Full-timeRemoteExpandUpdated 3 days ago - UpvoteDownvoteShare Job
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Strong ETL Testing knowledge – Data extraction from source databases, data transformation as per business requirements, data analysis and data loading. Design, develop and execute test cases for Data Analysis, Data Validation, Data Conversion and Data Migration.
Full-timeRemoteExpandUpdated 4 days ago - UpvoteDownvoteShare Job
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We are looking for a Data Science Architect who will be responsible for delivering high quality machine learning solutions using Microsoft s Azure suite of tools. Minimum of 5 years of experience with data science, or machine learning work.
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PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Profound knowledge of data science methodologies, especially in Bioinformatics. More specifically, this person will participate in the design of omic studies in preclinical research and cohort studies, implement cutting-edge bioinformatics and statistical methods and tools to analyze the data including but not limited to RNAseq, proteomics data, metabolomics data, etc, and perform integrative analysis of omic data and available clinical data in clinical trials.
Full-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience entering social science data into databases, assisting with statistical analysis of social science or business data, and using basic computer programming languages and statistical software packages.
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Reporting directly to the Director of Engineering, the Associate Software Engineer will work closely with other engineers of varying disciplines (DevOps, QA, Front-End ReactJS, Full-Stack Ruby, etc), product, data science as well as other parts of the organization.
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A deep understanding of the insurance underwriting process and related systems, in particular AI Automation systems in submission handling, data enrichment and data science, APIs and integration, rating, pricing, policy administration, low-code (e.g. Appian), Lloyds integrations (e.g. PPL, Blueprint II, Delegated), Billing and Payments.
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The Software Engineering Senior Associate, Valuation & Capital Market Analysis – Complex Financial Instruments will be a member of the Data Science team that builds Python based models and related infrastructure to speed up the development and deployment of machine language (ML), statistical and mathematical models at scale and bring game-changing impact to our client’s decisioning.
$90,000 - $115,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Fields of Study Preferred: Environmental Science, Occupational Health and Safety, Data Science, or a related field. Analyzed data related to incidents, near misses, and Motor Vehicle Accidents (MVA) performance to identify trends and areas for improvement.
Full-timeExpandUpdated 3 days ago - UpvoteDownvoteShare Job
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Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
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Expert Agile development practices and good experience at using tools like ADO, JIRA, GitHub Cloud Technologies, Containers (Docker, Kubernetes, Service mesh, Istio), Cloud-Native, Streaming Data tools like Kafka, Snowflake, AI/ML Data Science.
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May participate in the data gathering workflow for SAP master data development. Preferred: BS degree in Food Science, Chemistry, Microbiology or Business with two years experience in Quality, Product Development or Regulatory in the food industry.
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By developing strategic partnerships with business leaders and collaborating with data architecture, data engineering, data science, and business intelligence teams, you produce detailed functional requirements and establish and monitor key performance indicators to track success.
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Utilize LEAN and Agile principles to manage data science projects, focusing on iterative development, rapid prototyping, and efficient resource allocation. Strong understanding of data science concepts, machine learning algorithms, and their application to solve business problems.
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data science jobs in Oak Brook, IL
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