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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). The North America PRS (Personal Risk Services) Data Science team at Chubb is seeking a data scientist with 4+ years of industry experience to join our fast-paced, high-energy team.
$101,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNYM total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.
$108,700 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred Skills:- Knowledge of Microsoft Office Suite including Outlook, Word, Excel, PowerPoint and SharePoint- Ability to train on database systems such as the Agency’s Laboratory Information Management System (LIMS) and Water Information Systems by Kisters (WISKI) data management systems- A general knowledge of field sampling equipment and standard water quality sensors.
$57,839 - $84,705Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A Senior Research Scientist that specializes in organ transplantation and social behavioral science, chronic disease will work mostly with primary data collected through large multi-site studies and clinical trials in support of NIH and DoD funded research.
$115,000 - $150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) Hands-on experience with "productionalizing" Big Data applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning.
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The Senior Scientist will support the validation of Client therapeutic candidates by performing hands-on, bench-level assays involving both cell culture and tissue-based work, and as well as sample processing and analyses from in vivo animal studies.
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Strong foundational understanding of Big Data ecosystems to make trade-off decisions while developing end to end solutions on Cloud/On-Prem/Hybrid Data tech stackExperience balancing new product development with maintaining day-to-day data reporting operations in a very large scale enterprise set upExperience applying both qualitative analysis and quantitative analysis techniques and familiarity with common data science models and approaches to problem-solving.
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Required Skills: 10+ years professional work experience as a data scientist or on advanced analytics / statistics projects with 5+ years’ experience in one of the following sectors: Aerospace & Defense, Automotive, Banking, Consumer Products & Retail, Financial Services, Healthcare, High Tech, Industrial Products, Insurance, Life Sciences, Manufacturing, Public Sector, Telecom, Media & Entertainment, and Energy & Utilities.
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However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
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You’ll work closely with our customers, Product Managers, ML Engineers, and leadership team to perform deep data science and develop sophisticated statistical and ML modes that provide insights on network dynamics and their impacts on various metrics in supplier networks and product value chains.
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Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines. Write spark jobs efficiently with algorithms used for big data processing.
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Use market, risk, and performance tools such as Barra Portfolio Manager/Barra risk models, FactSet, Bloomberg, and Aladdin on a daily basis. Familiarity with market data and risk tools (i.e., Barra Portfolio Manager, BarraOne, Barra equity factor risk models, FactSet, Bloomberg, Aladdin.
$95,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Partner with and provide direction to Business, Legal and Compliance teams on issues related to anti-money laundering (AML), sanctions, and anti-corruption laws and regulations, including the USA PATRIOT Act, Bank Secrecy Act, OFAC/HMT regulations, U.S. Foreign Corrupt Practices Act (FCPA), and related.
$132,000 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated Today
data science scientist big hands on incentive compensation jobs in Long Island City, NY
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