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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
$285,800 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The post-doctoral researcher will function with substantial independence to support research activities in the areas of computational genomics, biomodeling, data science and molecular biology in the Department of Computational Data Science and Engineering in the College of Engineering at the North Carolina Agricultural and Technical State University.
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Experience: You have Ph. D. (or MS with 4+ years of post-MS experience) in one of the following areas: Remote Sensing, Image Processing, Computer Vision, Data Science. You will follow data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility.
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Engineering, Data science or another quantitative field (i.e. mathematics, statistics, economics, etc.) Bachelor's degree preferably in Engineering, Data Science (Mathematics, Statistics or Economics.
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Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Reporting to the Director of Data Science for Consumer Asset Management Analytics and Strategy, this position will focus on collaborating with data solution and support (DSS) team and enterprise data analytics (EDA) team to ensure the proper implementation and monitoring of consumer risk models, while coaching and developing data science and risk analytics talent at Ally. Do you have a focus on measurable business outcomes, strong analytical skills, and a desire to make an impact.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Bachelor's degree (or foreign education equivalent) in Computer Science, Computer Information Systems, Computer Information Systems and Information Technology, Engineering, Information Technology, Mathematics, Physics or a closely related field and three (3) years of experience as a Senior Data Engineer (or closely related occupation) performing Informatica ETL and Oracle database development to support HR data engineering capabilities in a financial services environment.
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Experience and passion for Data Science - machine learning, deep learning, and NLP (LLM) Design, code, test and implement quantitative models, leveraging data science techniques, in machine/deep learning and NLP.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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We are expanding in data science to provide the best information possible utilizing the latest techniques in Machine Learning (including Deep Learning, Neural network). , statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering.
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In charge of design, setup and maintenance of data infrastructure including but not limited to Databricks, ElasticSearch, Kafka, ScyllaDB, CloudSQL, RDS, DynamoDB, etc. About You:5+ years DevOps/SRE working experience in GCP/AWS.Computer science or related engineering degrees.
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Master’s degree in Data Science, Computer Science, GIS, Geography, Oceanography, Earth Sciences, Physics, Environmental Science, Engineering, or related field. Bachelor’s degree in Data Science, Computer Science, GIS, Geography, Oceanography, Earth Sciences, Physics, Environmental Science, Engineering or another related field or equivalent combination of education and experience.
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Working knowledge of Business Intelligence tools: Tableau and PowerBI. Experience with other Big Data tools such as Spark, Snowflake, and Kafka Experience creating and using APIs Preference for background in Financial Services in Wealth Management/Independent Broker Dealer/RIA EDUCATION AND EXPERIENCE: Bachelors/Masters in Computer Science, MIS/Information Management, Engineering or related field 3+ years experience in Data Engineering role.
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Ph. D. in bioinformatics, data science, bioengineering, or a related discipline with 3+ years industry experience or MS with 5+ years of industry experience (Bonus: Experience in drug discovery or drug development.
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data science jobs Title: data architect Company: Zoom
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