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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Proficiency with Excel / VBA and R / Python. Bachelor's degree in Financial Engineering / Quantitative Finance, Math, Statistics, Data Science, Engineering, Economics, or other relevant program.
$58,300 - $115,850 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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T h e Developer w ill w o rk cl o s ely wi t h proje c t m a n a g ers, I T s t af f , p r o g ram s t aff a n d o t h er s t akeh o l d e rs t o defi n e a n d d e v e l o p r eq u ire m ents f o r the enterprise data warehouse.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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Five to 10 years’ experience implementing RCM, CbM/PdM methods, operating building automation and energy management systems, and thorough understanding of asset management, data analytics, and capital planning approaches.
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The successful candidate must demonstrate strong background in technology, data analytics, software development, and programming languages such as R, Python and SQL, with expertise in Business Intelligence tools (Shiny, Tableau, PowerBi.
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Fluency in the languages of data manipulation (e.g., SQL) and statistical analysis (e.g., R or Python/NumPy), with ability to code (e.g., PHP) a plus, Java, Ruby, Clojure, Matlab, Pig or SQL.
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Ability to program in other languages such as SAS, SPSS, R and Python desired. The Campaign Insights team partners with both internal and external stakeholders and data providers, leveraging analytics and measurement to enable optimization of media spending.
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Proficiency in Python and SQL, data visualization tools (e.g., Tableau, Looker), and other business intelligence technologies (e.g., Alteryx). Bachelor's degree or equivalent practical experience in analytics, insights development, or strategy consulting" with proficiency in Statistics, Operations Research, Physics, Mathematics, or Computer Science.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Familiarity with programming for data analysis; ideally Python, SQL, or R. 7+ years of data management and analytics experience in either banking, consulting, or cryptocurrency.
$145,000 - $192,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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As aPeople Analytics Senior Consultant,you willengage with clients to advance their people analytics capabilities across strategy, people, process, data and technology and to help them to deliver business-driven, actionable people insights across work, workforce and workplace topics (e.g., DEI, attrition, mobility, future of work, talent acquisition, compensation, performance management, etc.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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CIB ex-trading and CB MRGR - Responsible for VaR and Market Risk Capital, Counterparty Credit Risk and XVA, Wholesale Loss Forecasting and CIB Data Science. Quantitative Balance Sheet Strategy (QBSS) QBSS is a firm-wide community of teams responsible for best-in-class quantitative analytics supporting JPM's Corporate Treasury efforts around the Firm's Asset & Liability Management (ALM) and balance sheet strategy.
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You have working knowledge of analytic technologies (e.g. Alteryx, SAS, SQL, R, Python, Power BI, Tableau, Adobe Analytics, etc.) Knowledge in a variety of analytics techniques such as: profiling, data mining, modeling, statistical analysis, and campaign measurement.
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data science predictive analytics analyst python r jobs Company: Cvs Pharmacy in Newark, NJ
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