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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commesurat experience such at Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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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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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
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Bachelor's degree in Financial Engineering / Quantitative Finance, Math, Statistics, Data Science, Engineering, Economics, or other relevant program. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities.
$58,300 - $115,850 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, DataRobot, C3, Panopticon, Talend, Trifacta, Selerity, ELK, KPMG Ignite etc.
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We work closely with other Treasury-Finance teams (Liquidity Management and Capital Markets), Stripe's Information team (Data Science and Data Engineering), Stripe's Money Movement & Storage (MMS) product and engineering teams to build great capital and financial risk infrastructure.
$223,600 - $335,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. Cross-Functional Collaboration Work closely the Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes.
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MSW/MA/MPA/MS in social work, social science, public administration, data analytics, data science, data/information management, or another related field. + Conducting quantitative and qualitative data analysis utilizing software such as Qualtrics, Excel, SPSS, and/or Stata.
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Related fields include law enforcement, police science, criminology, criminal investigation, criminal justice administration, public justice, police studies, forensic accounting, forensic psychology, forensic science, and economic crime management.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Required: Bachelor’s degree in computer science, Engineering, Statistics, Physics, Math, or related field or equivalent experience.
$124,372.5 - $247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In-depth knowledge of technology and cyber risks and controls across various information system architecture and engineering domains including: data protection, identity and access management, vulnerability management, network security, endpoint security, logging and monitoring, incident management, and third-party management; preferred expertise in Banking Technology & Cyber Risk.
$170,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering required. Additionally, the Senior Director will help build and lead a new team within Audubon Technology, operating in close partnership with the other Data & Technology teams (Data Analytics, Data Engineering, and Enterprise GIS), Audubon Conservation (including the Science Division), the Chief Strategy Integration office, and other business teams across Audubon.
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About the Opportunity: Reporting to the President of World Science U (WSU) and Executive Director of Education, or in their absence, the Director of Education, the WSS program Manager oversees daily operations of the WSS program, working intimately with world-renowned scientists and coordinating with the WSF media team to produce and film high quality courses.
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data science big jobs Title: scientist Company: Jobs Via Efinancialcareers in New York, NY
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