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Present or past Experience in analytic tools such as R, Python, AWS, and Databricks to build advanced analytic models, and exposure to accessing data from cloud platforms and big data systems such as Hadoop HDFS & Hive would be an advantage.
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Knowledge of database management, spatial data sources (demographics, transportation-related, environment, aerial imagery), programming (SQL, Python), and other “big data” or data science skills.
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Experience as a hands-on contributor or in leading a team to develop multiple advanced analytics solutions or design/implement large data engineering programs in areas such as price optimization, underwriting risk management, market mix effectiveness analysis, agency management, customer lifetime value, customer segmentation, claims analytics, contact center analytics, etc.
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Ph. D. Master’s degree preferred in engineering, economics, statistics, computer science, or related quantitative field 10+ years of backend software or data engineering experience with at least 4 years’ experience as lead data engineer of a development scrum team.
$149,200 - $248,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Team Description The US Card Data Science team builds industry leading machine learning models to empower core underwriting decisions in the acquisitions and management of new and existing credit card customers.
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Are you interested in AML (Anti Money Laundering) and how to apply data science to solve some of the most complex problems in banking/financial industry? Do you think about big data as a gold mine that unearths business insights and transforms how decisions are made.
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Talent Development and Management: Attract, develop, and retain top talent in data science, creating a strong team capable of tackling complex analytical challenges. Technical Expertise: Deep knowledge of machine learning, predictive analytics, and statistical modeling techniques, with proficiency in data science tools and programming languages such as Python, R, or Scala.
$160,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working knowledge of big data componentsMust be familiar with analytics software architectureFamiliar with data warehouse, data lakes and master data management.
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Related experience of statistical software, such as R, SAS or SPSS, Matlab and big data management processes. Experience with FHIR and SMART standards, AWS cloud services, electronic health record data, software container programming (Kubernetes, Docker), technology, information management, relational database design and development, including programming, managing and maintaining data systems, and Experience using and maintaining systems across a variety of platforms (Windows, Linux, AWS, etc.
$86,700 - $95,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Own the project during phases from initiation, development, unit testing to QA, UAT, Staging and ProductionSkills: Fluent in Python and related technologies (Pandas, NumPy) Bachelor degree, Master’s preferred in Statistics/Engineering/Computer Science Strong Analytical and problem solving skills Experience with pricing and risk calculations of various asset classes Experience working within the Spark/Hadoop or any big data distributed ecosystem 21.
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Candidates will have preferred expertise in the following: real estate, data science, compliance, risk management. To realize this vision, we have set a course to elevate the University to historic heights and set a big agenda for the future.
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Starting with a degree in a quantitative field (computer science, math, statistics, economics, engineering, or similar subject), you’ve got all the critical tools of the trade under your belt: Adobe or Google Analytics, SQL, Excel and A/B testing.
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We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
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Proficient in big data ecosystem programming languages (e.g. Python, Ruby, Java, Scala). Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing.
$55,000 - $136,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The MEGDP serves many use cases including regulatory reporting, analytics, and data science. experience with Data management, automation on Spark, performance optimization, automation and unit tests.
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data science big management jobs in New York
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