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Project management skills and experience managing implementation of integrations or implementation of clinical technologies like eCOA, IRT, EDC, Medical Devices, and Clinical Data Wearhouse for large drug development programs.
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Technical knowledge and expertise regarding health data exchange standards, including but not limited to Health Level Seven (HL7), X12, Fast Healthcare Interoperability Resources (FHIR), JavaScript Object Notation (JSON), push notifications/alerts, master data management (MDM)/master patient and provider IDs (MPIs), error logging, and assured delivery/message acknowledgments.
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The Group places innovation at the heart of its development and intervenes in areas related to the technological changes of large groups, such as Big Data, IoT, Blockchain, and Artificial Intelligence.
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Significant experience implementing advanced data and analytics solutions on a modern data platform (e.g., Dremio, Databricks, Snowflake) Please elaborate candidate's experience in implementing advanced data and analytics solutions on a modern data platform (e.g., Dremio, Databricks, Snowflake.
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Overall 6+ years of hands-on experience in computer/software engineering with majority in big data engineering. Be up-to-date with the latest tech trends in the big-data space and recommend them as needed.
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What You’ll Be Doing: Data Science: Advanced knowledge of experimental design and testing frameworks like A/B testing, Multi-armed Bandit testing etc. Experience with Predictive / Prescriptive modeling Advanced proficiency in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc.
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We’re also looking for a candidate who loves synthesizing news stories into conversational scripts — and it’s a big plus if you can then present those on-camera. Bachelor’s degree or equivalent experience, such as at least two years of full-time work as an editor, reporter, video producer or social media producer at a daily newspaper, broadcast station, online or digital news outlet or AP bureau.
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Bachelor's degree in related field Supply Chain Management, Industrial Engineering, Operations Research, Data Science, Mechanical Engineering or Business Management. You are passionate about conducting client diagnostic interviews, data collection, validation and analysis, supply chain cost compilation, supply chain, network modeling, transportation modeling, inventory modeling, distribution center design, distribution center process improvement and client recommendation development.
$53,835 - $99,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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High proficiency with Microsoft Excel, PowerPoint and Word with ability to quickly learn new systems – performance reporting, data/transaction aggregation, data analytics, CRM. Progress towards CFA, CFP, CIMA, CAIA or CTFA preferred.
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Experience with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, Azure, or GCP) As the first Senior Data Scientist supporting our marketing team, your role is pivotal in driving data-driven decision-making and strategy formulation.
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Bachelor's degree in Exercise Science, Sports Management, or related field. Master’s Degree in Exercise Science, Sport Management, and/or Physical Education or a related field. Maintain appropriate record-keeping and data collection for fitness programming and events; look for trends.
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Ability to migrate the Data Science models written on native python language to the multi node Databricks compute. Enable streaming data use-cases and standard design patterns in a big data environment.
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Our data engineering team is also responsible for quality curation of data to ensure our products You will be joining a talented, fully remote Data Science, Engineering and Analytics team that handles a wide range of requests including customer data processing, weekly report automation, new product development and complex data integration.
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A masters degree from an accredited college or university in one of the following areas of study: environmental or chemical engineering, limnology, environmental science, marine science, geology, biology, earth science, chemistry, physics, or health science; or 2.
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Assist CRAM with identification, testing and implementation of more robust technology, data and modeling solutions for a variety of applications, including CECL (e.g., Moody s), stress testing, and credit and data analytics (e.g., Dataiku.
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