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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Degree : Bachelor's or Master's degree in a relevant discipline (e.g., Computer Science, Data Sciences, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
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Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. We're the TikTok Monetization Products data science team, who enables and champions data driven decision making.
$153,000 - $296,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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The processing, archival, and distribution of Earth science data. Master's degree in a physical science and 5 years of experience or an equivalent combination of education and experience in hydrology, meteorology, hydro-meteorology, soil science, or a similar field.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$156,000 - $312,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working knowledge of Earth and Atmospheric Science Data including remote sensing data sets. NASA's IMPACT Project Office monitors trends and progressions across the informatics, data science, and information technology communities in order to informstrategy and develop effective solutions for Earth science data management and dissemination.
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BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related fields and minimum 4 years related business experience in analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role OR advanced degree and 2 years directly related experience.
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PhD in computer science, computer engineering, information systems, Medical Informatics, Bioinformatics, life sciences or related discipline with 8+ years' data science experience.
$201,025 - $260,150 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This commitment is brought to life in the Institute for Data Science in Oncology (IDSO), a flagship program designed to reshape patient experiences and fast-track scientific breakthroughs via data-driven cancer care methodologies.
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Affinity to either performance optimizing, user experience design, automated testing and/or data science. Experience in data processing roles such as database developer/administrator, ETL/Big Data developer, data analyst and/or BI analytics developer Experience with cloud platforms, big data platforms and one or more general purpose programming languages, including but not limited to: Python, SQL, Spark, Amazon Web Services Experience with DevOps principals and version control (Git preferred) End-to-end experience with data, including querying, aggregation, analysis, and visualization.
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We're building the world's most advanced healthcare platform from the ground up, combining hardware, software and doctors under one roof.
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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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Are preferredBasic Knowledge of security-related topics such as authentication, entitlements, identity management, data protection, data leakage prevention, validation checking, encryption, hashing, principle of least privilege, software attack methods, and data storageFundamental knowledge of process reengineering and methodologies, including flowcharting and technical design documentationAbility to convey complex technical security concepts to technical and non-technical audiences.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. The Lead Data Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
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data science jobs Title: consultant Company: Sirius Computer Solutions
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