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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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Working across technical and functional teams, you will utilize the latest data science, data engineering, data visualization and business intelligence strategies, methods, and standards to bring forth market leading insights.
$181,800 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experienced technical lead for the data science team, with experience mentoring team members. Conceive, plan and prioritizing data projects with the Director of Data Science & Machine Learning.
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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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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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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commensurate experience such as Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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To enable test execution and analysis of performance data, this role may include aspects of mechanical, electrical, instrumentation, and software engineering. Various modeling, simulation, and data analysis roles including but not limited to COMSOL, ANSYS, Python, C.
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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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Experience in data architecture, data governance, data modeling, data transformation (from converting data, to data cleansing, to building data structures) data lineage, data Integration, and master data management.
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The Center for Data Science (CDS): The recently established CDS is working to formally establish a datacentricresearch ecosystem at Rutgers RBHS, to better facilitate the acquisition, management, analysis, anddemocratization of biomedical research data.
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Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.
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J.Jill is a premier omnichannel retailer and nationally recognized womens apparel brand committed to delighting customers with great wear-now product. J.Jill offers a guiding customer experience through more than 280 stores nationwide and a robust e-commerce platform.
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As a Research Data Analyst, you will collaborate with statisticians, clinicians, and life science partners to execute research analyses. Masters degree in computer science, statistics, applied math, econometrics or similar quantitative field with prior research/internship experience.
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A master's degree from an accredited college in Library Science, Archival Science, American History, Political Science or a related area, plus two years of full-time experience in archival or library science, one year of which must have been in a supervisory capacity of incumbents performing at a professional level; or.
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data science jobs Title: software eng in New York
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