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Reqs: Master’s (or equiv) in Comp Sci, IT or rltd fld + 3 years exp using DataStage, DB2, Oracle, SQL Server, Toad, Unix shell scripting, ESP, Cognos, Data warehouse, Service Now & Quality Center.
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Proficient in SQL with at least 2 years of experience using cloud data analytics platforms such as Snowflake, Redshift, or BigQuery. In this role, you will leverage cloud services like AWS and Snowflake, architect data layers in data build tool, design services and extraction jobs in Kubernetes, and create tools in Swift and Python.
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Working at the intersection of data science and drug discovery, you will collaborate with cross-functional teams of engineers, biologists, and data scientists to analyze complex biological and chemical data, develop predictive models, and uncover novel insights to guide therapeutic discovery efforts.
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Responsibilities:Supports service logistics and customer contact center operations by providing data on a daily, weekly and monthly basis. The Data Analyst is responsible for creating reports and developing complex variables to provide business users information for day-to-day operations.
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Post-graduate research experience (PhD or equivalent research beyond Masters) in Data Science/Machine Learning or closely related areas such as Computer Science, Operations Research, Applied Statistics, and Biomedical Informatics.
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You will play a crucial role in our mission to harness the power of data and machine learning to drive the understanding of the correlation between our state-of-the-art in vitro disease models and clinical response.
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Create and implement data collection and analysis tools while utilizing programming languages and environments (e.g., R, Python, SQL, Scala, Java). Develop and/or manage & improve upon existing Google Apps Scripts to include the Project Data Sheet, Leasing eStretch, Expiring Lease Report, Performance measures / KPI dashboard, R9 READ Lease & Project Inventory, Realty Financial Specialist tracker, and Monthly Status Report.
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M.S or PhD in Data Science/Machine Learning or closely related areas such as Computer Science, Operations Research, Applied Statistics, and Biomedical Informatics. The Senior Data Scientist will develop model-based solutions in multiple areas of business interest to ResMed, using the latest technologies in machine learning and cloud computing.
$162,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Your next career move: We are currently seeking a Sr Data Integrity Specialist II who is part of the QA/Compliance team and is a Subject Matter Expert in data management across product lifecycles (, supporting product development through CGMP clinical and commercial production.
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We are seeking a Senior Data Visualization Developer with a strong focus on front-end development and a passion for storytelling through data. Technical Integration : Utilize SQL, Snowflake, and Python for data manipulation and integration with frontend displays.
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A leading innovator in AI-powered defense and global security is seeking a Data Scientist with a deep understanding of Artificial Intelligence, Machine Learning, and Targetting systems. Proficiency in large-scale data processing and the development of batch processing pipelines within HPC or cloud environments.
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Formal education in Data Science, Applied Mathematics, Engineering or related field. Experience in applying machine learning / data-driven modelling approaches to physics-based data (simulation data, experimental data, etc.
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Experience building AWS cloud data solutions and migrating from on-prem to cloudExperience leading, managing and delivering complex cloud-based architecture engagements end-to-end with resources in multiple locationsHands-on experience with big data application development and/or with cloud data warehousing (e.g. Spark, Redshift, Snowflake, Azure SQL DW, BigQuery)Strong communication skills and a working knowledge of agile development, including DevOps concepts.
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You have extensive knowledge of analytic techniques and metrics used in the analysis of healthcare claims or EHR data, including knowledge of healthcare billing coding. Our ideal candidate has significant experience working with health claims data (Medicare, commercial), developing analytical insights using SQL and Python; and has strong communication skills.
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CAI seeks DC Services Electrical Commissioning Engineers with a minimum of five to seven years' experience in Data Center Commissioning to support development and execution of all electrical aspects of commissioning projects.
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Title: data Company: Get Grid in San Diego, CA
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