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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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If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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We are seeking a Principal Scientist to join the Data Science unit at our Cambridge, MA office to develop and leverage innovative computational biology algorithms supporting translational research use of Caris’ large-scale multi-omics data.
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In this role, you will support the successful development of data strategies, data governance programs, data modernization roadmaps, reporting and visualization tools, and craft business cases for funding of data initiatives at large corporations, in particular regard to EHS and ESG functions.
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Upon successful completion of the program, you will have career opportunity as a Data Scientist, Data Engineer, or other roles at AGCO. Candidates who apply for this program, should be interested in a long-term career path with AGCO. By joining ACGO’s CATALYST rotational development program, you will discover the endless career opportunities through a solid foundation of data & analytics and understanding of our customers.
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Degree: Mathematics, statistics, computer science, data science or field directly related to the position. Manages multiple complex data analysis projects, using approaches common to the field of data science including AI/ML techniques, data visualizations, and other analysis supporting policy, supervision, and resolution planning related to large complex financial institutions (LCFIs) including banks, bank holding companies (BHCs) and other systemically important non-bank institutions with national or international operations.
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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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Ability to migrate the Data Science models written on native python language to the multi node Databricks compute. Role DescriptionWe are currently seeking a talented and motivated senior Azure Data Engineer to join our Risk Technology Team. The role will be responsible for developing, deploying solutions for risk, regulatory, compliance projects on Azure platform and be at the forefront of on-prem to cloud migration initiative.
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Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Our data analytics and software platforms support data science, commercial operations, real world evidence, and cloud information management. Lead and execute with full ownership of RWE studies/analyses by SAS/SQL/R/Python based on claim database, EMR database, registry data and public used files.
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Senior Consultant - Payments Fraud Analytics and Data Science. Payments Fraud Analytics and Data Science Senior Consul. This include applying data science and technology skillsets when working with large-scale financial institutions, financial technology ("fintech") organizations, and other money service businesses.
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Handling patent prosecution matters related to data science, AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security. Experience in data science, AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Day to day you’ll be building ETL pipelines, modeling data to feed analytical reports and data science models, designing data access tools, or building data models in Looker.
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Post doc is sought in the area of data-driven plant science and stress assessment to support remote sensing in environmental engineering, starting in Summer 2024 or shortly after. The CII staff members are specialized in big data and information technology, civil and environmental engineering, computer science and engineering, and mechatronics and mechanical engineering.
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data science jobs Title: senior manager Company: Bayer
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