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BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field and minimum 6 years directly related data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role.
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We are at the exciting intersection of Machine Learning, Artificial Intelligence, and Security and are looking to add a Data Science Manager specializing in machine learning to our growing team.
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Specifically this role will lead and contribute towards building aspects of centralized event driven data streaming platform and services focused on LSE(Large Scale Events) prevention and mitigation, data center operations, and hardware quality management for Oracle Cloud Infrastructure (OCI.
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Key Functional Requirements & Qualifications: Advanced degree (PhD) in a field related to AI/ML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Sciences.
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Including papillomavirus sequence, microbiome data, both 16S and other, and human genomic data. The ideal candidate will have a background in epidemiology, computer science and/or bioinformatics.
$54,000 - $63,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Requirements: Requires a Bachelor's degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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Additional experience required includes scientifically processing imagery (SAR, IR, Spectral, Lidar) from Civil and Commercial imaging systems, proficiency with techniques, algorithms, and scientific analysis of associated discipline data processing using RSI ENVI. Experience with GOTS applications such as FSTK and AGITK is a plus.
$86,235 - $146,638 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ph. D. in Biochemistry, Molecular Biology, or related field with a strong focus on protein science. Proficiency in data analysis and scientific software tools (e.g., GraphPad Prism, MATLAB, Python.
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Applies a variety of methods based on standards and metrics to review and improve data acquisition and data management processes such as statistical analysis, machine learning, data mining, predictive analytics, time series analysis, multivariate regression analysis, statistical process control and optimization solutions.
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We have already launched our own Enterprise Data Hub, the digital backbone of this company, and we need more engineers in the data analytics discipline who are forward thinking, self-guided and innovative to continue to build out the hub across our lines of business, integrating all of our data, mastering data and focusing on data quality to fundamentally shift the way Charles River operates through data science and advanced analytics.
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BS or MS degree in Health Informatics, Data Engineering, Computer Science, Information Technology or equivalent. This position supports the flow of high quality and large quantity data into Commercial Analytics data science models, solutions, and analytics.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customer’s unique experience and delivering results through our omnichannel business model.
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Experience with building AWS cloud-native data science applications. Either a patent, or speaking roles at major data science conferences (Open Data Science conference, etc.
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Bachelor of Science in wildlife biology, ecology, or a closely related field with two years of experience in field work that includes: 1) capture and handling of turtles, 2) project and/or field team coordination, and 3) data management.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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data science jobs Title: management trainee Company: Oracle
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