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Set the data science vision for RingCentral’s Data & Analytics organization and build the roadmap to drive business results. Evangelize the data science and research function within RingCentral and foster a strong data science community.
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Digital technologies may include, and not limited to, Artificial Intelligence/Machine Learning/Data Science, Robotics, AutoBots, IoT, Big Data, Blockchain, Augmented Reality/Virtual Reality, Social Media/Collaboration, and Mobility.
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Stats and domain area: Demography, Socoieconomic data wrangling, spatial data management and formats, data science experience. Contribute to Open Spatial Lab and core facility projects in a variety of topic domains focused on geospatial data science and interactive cartography, including public health and demography, food insecurity, urban ecology, and climate justice.
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We are seeking a Data Science Associate to join the Fidelity Digital Asset Management business and report directly to the VP, Data Science. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
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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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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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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Proficiency in ML/Data Science/Statistical Modeling languages such as Python, R to build Propensity Models, Customer Segmentation, Churn Scores, Forecast Models etc. 3+ years of expertise with modern data science workflows on the cloud (Git, Jupyter, Python, AWS, Azure.
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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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Data science, machine learning, optimization models, Master's degree 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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Bachelor's Degree in Health Informatics, Public Health Administration, Healthcare Economics, Public Policy, Biostatistics, Computer Science, Business or a related field; AND three years of professional experience in Informatics, data management, statistical analysis or a related field, preferably in a Public Health environment, that includes two years of supervisory experience.
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Citibank, N.A. seeks a Data Science Lead Analyst for its Jersey City, New Jersey location. Data Science Lead Analyst. 5 years of experience must include: Data analytics and statistical analysis of financial risk data; Policy and regulatory analysis; Data analytics tools including: R, Excel, and PL/SQL; Anti-Money Laundering (AML) and Know Your Client (KYC) guidelines; Oracle and relational databases; and User Acceptance Testing (UAT) and defect management.
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Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) designing, implementing, and developing applications in Sybase, SQL server, Oracle, Informatica, Python and Azure.
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As this is part of multiple ongoing collaborations, the nature of the work will depend on your strengths and experiences; this is an exciting opportunity to be involved in work with direct real-world impact and leverage our department's expertise to build skills in a number of areas from high-performance computing/GPU acceleration, implementation of machine learning algorithms, computational biology pipelines, matrix operations on sparse data, among others.
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Applicable Majors: STEM, Data Science, Computer Science, Business Analytics, Mathematics, Statistics, Economics and other Quantitative Fields. Information Technologies: Azure Data Lake, Snowflake EDW; Informatica.
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Research in Computational Data Science and Engineering includes: big data and computational statistics, AI and Machine Learning, internet of things, large and complex systems, intelligent transportation and infrastructure systems, remote sensing, autonomous vehicles, virtual and augmented reality, e-commerce, image and video processing, scientific and interactive visualization, high-performance computing, scalable algorithms, bioinformatics, and multi-scale multi-physics engineering systems.
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data science jobs Title: management trainee Company: Johnson Johnson
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