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Experience manipulating, visualizing, and interpreting big data. Examples of areas the data science team is deeply involved in include safety readiness evaluation, development of signals to characterize good driving, evaluation of ML models in production systems, and simulation technology (virtual driving.
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Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace. In addition to your existing people analytics work experience, this role will combine your skills in psychology, data analytics and visualisation, to help create a more effective workplace.
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Take the computational biology lead on studies including; designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan. The QSU is seeking a highly motivated, hard-working and professional computational biology data scientist to extend our team of collaboration with clinical, immunological and bioinformatical researchers.
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Understanding of implementation of architecture within Azure Big Data Analytics Al tools. Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation.
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Our award-winning software is powered by a team of world-class experts in fraud prevention, big data, security, and scalable infrastructure. You are an experienced fraud fighter yourself with the big pictures of fraud management in mind, and will lead a team of Fraud Strategy Managers (FSMs) to build a framework with dashboards to monitor the business values customers are getting from our solutions, e.g. fraud rate control, good user impact rate, fraud rule detection performance, machine learning model performance, case review operation efficiency.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies like Flink, Spark, and Kafka. As a Principal Data Engineer at Tinder, you will take the lead in designing, building, and optimizing the next generation of our data platform.
$255,000 - $270,000 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Preferred Area of Experience: Microsoft , Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.
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Join us and become a part of the next wave of engineering that makes possible AI/ML, big data, autonomous vehicles, AR/VR, IoT and more. Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies.
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Expertise in clinical agreements, data privacy (including GDPR and US privacy laws), and commercial contracts/legal operations. This pivotal role requires a seasoned legal expert with a comprehensive skill set across three core areas: clinical expertise, data privacy (including GDPR and US privacy laws), and commercial contracts/legal operations.
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Primary Skills: SQL, Python, Databricks, Airflow, Azure/AWS/GCP, Data Asset Management, Data Engineering. Extensive experience in data modeling and ETL processes, with familiarity in workflow orchestration tools like Airflow or Databricks.
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Familiarity with scientific data analysis tools, such as: MATLAB, PLS, PCR, IGOR Pro, Horizon, Origin, LabVIEW, Python, etc. Extensive experience in experimental laboratory work using lasers, detectors, analog/digital signal processing and data acquisitions (DAQ.
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Lead product development for the open source Spark project and the Databricks Data Intelligence Platform. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Demonstrated skills in Data Fabric areas including, but not limited to, data governance, data integration, data observability, and master data management. Candidates for this position would benefit from having knowledge of or experience with some of our specific technology offerings in areas such as Hybrid Data Management, DataOps/Governance, Data Integration, Data Observability, and Master Data Management.
$91,000 - $138,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Your qualifications You have production experience with building and operating a DataLake, Data Warehouse or Data LakeHousesYou have a taste for big data streaming, storage and processing using open source technologiesYou can demonstrate your understanding of what it means to treat data as a productYou know what are Data Mashes and Data Fabrics and what is critical to make sure for them to bring valueYou are able to learn and adapt.
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Experience in test automation (instrument control and data collection) using LabView, MATLAB or Python. Proficiency in statistical data analysis using Minitab or JMP. Collect and perform statistical analysis on metrology data to correlate to performance metrics.
$170,000 - $240,000 a yearExpandApply NowActive JobUpdated Today
big data jobs Title: data project manager Company: Oracle in Sunnyvale, CA
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