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Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with more than 4,000 lawyers and staff in 30 offices is seeking a Data Engineer, Data Science to work closely with the team to construct and maintain technical platforms that efficiently collect, manage, and transform raw case data into actionable insights for legal teams and business analysts.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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7+ experience in a technical pre-sales role (e.g. sales engineering, solutions architect), preferably in the SaaS B2B space or equivalent experience in product or data workflow design.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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Exposure to big data technologies such as Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, etc. Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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They will be a part of the team responsible for continuous improvement planning roadmap and the technical design of all data science related projects. The Supply Chain Data Science Manager a is key contributing member of the team responsible for decision support technologies associated with Comcast demand and supply planning.
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs) across the aligned geography.
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Creates awareness of BWI solutions and facilitates Territory Sales Manager (TM) contact with the key decision makers to drive incremental business. Provide expert clinical product and technical assistance and training to physicians and EP Lab Staff on the effective use of BWI's systems and catheter equipment (e.g., The CARTO® System and associated software modules and RF generator) during case procedures within an assigned geography, and in a manner that leads to meeting and exceeding business goals.
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Ideal candidate for this role is someone with a strong background in computer programming, statistics, and data science who is eager to tackle problems with large, complex datasets using the latest python, R, and/or Spark.
$92,500 - $158,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work with the state data director to support data needs of partner programs. Support Coalition Management : Work with the state director by tracking electoral and advocacy programs aligned with the coalition plan, monitoring benchmarks, providing technical assistance including scaling up tactics and basic use of tools like VAN, and identifying gaps in collective strategy.
$65,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Katz confers the following degrees: MD; PhD (Doctor of Philosophy) and MS (Master of Science) in Biomedical Sciences; Physician Assistant MMS (Master of Medical Science); MA (Master of Arts) in Urban Bioethics, the only program in the country; and the dual degrees MD/PhD, MD/MPH, MD/MA in Urban Bioethics and MD/MBA.
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The Customer Sales Lead eCommerce Growth Channels is responsible for leading the development and implementation of business plans across Amazon platforms and all other emerging Pureplay retailers.
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Serves as a technical resource in multiple technical areas within transportation such as: Line and Grade, Safety Review, Design Field View, Right of Way, Traffic Control, Signing & Pavement Marking, Cross Sections, Final Design plans and specifications.
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POSITION TITLE: Data Science Architect. We Are a Full-stack Shop Consisting Of Product And Portfolio Leadership, Data Engineering, Infrastructure And DevOps, Data / Metadata / Knowledge Platforms, And AI/ML And Analysis Platforms, All Geared Toward.
$150Full-timeExpandApply NowActive JobUpdated 30 days ago
saas sales technical data science jobs Title: customer success manager in Philadelphia, PA
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