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As a Vice President, Client, Finance & Strategy Data Scientist Lead in our Data & Analytics team, you will be an team member contributor working closely with Finance, Strategy and Leadership Team. You will address key strategic issues requiring advanced analytics and a big data-promote approach.
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). As a data scientist for PRS, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business.
$101,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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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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You will work closely with the senior leaders in R&D (Discovery through to Pre-clinical and Clinical Development) on integrating QSP modeling into all facets of R&D. You will be counted on to develop strategies and processes for a role that will have great strategic impact on the company, which is undergoing an exciting metamorphosis by becoming a more digital, data-driven R&D enterprise.
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We’re seeking a future team member for the role of VP, Data Scientist to join our Business Intelligence team. VP, Data Scientist. Experience with data science / machine learning algorithms and tools (R, Python, or other development tools) required.
$108,700 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data platform serves as the foundation for a key set of offerings running Cloudera's distribution. Strong hands-on experience with Linux/UNIX administration, Red Hat Linux.
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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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This is a highly technical role, requiring familiarity with day-to-day operations and use of eDiscovery technology including data processing tools, hosting platforms (Relativity experience required) and analytics/TAR/Predictive Coding (Relativity or Brainspace strongly preferred.
$111,200 - $166,800 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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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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data science scientist big hands on predictive modeling jobs in New York
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