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Saint-Gobain designs, manufactures and distributes materials and solutions which are key ingredients in the wellbeing of each of us and the future of all. Saint-Gobain Research North America is looking for talented, and energetic data scientists to join our Data team in driving digital transformations for key programs.
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Proficiency in SQL, Python, Python data science stack (NumPy, SciPy, Pandas, Scikit-Learn, Jupyter), Keras, and other ML tool. Maintaining a keen awareness of recent developments in data science and cloud computing infrastructures and state-of-the-art AI/ML/DL algorithms and research results.
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Knowledge of higher education theory and best practice related to academics; enrollment management; student success, wellbeing, and engagement; finance; administration; human resources; information technology; and diversity, equity, and inclusion.
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The Senior Data Scientist leads projects in the data science (statistics, machine learning) field related to smart manufacturing, business and logistics improvement, and R&D efforts improvement.
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Xplor provides enterprise-grade SaaS solutions for businesses in “everyday life” verticals: Childcare & Education; Fitness & Wellbeing, Field Services and Personal Services – and a global cloud-based payment processing platform.
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Preferred experienced with the following tech stack including but not limited to: Java, Apache Storm/Apache Spark, REST API, Angular/React, Spring, Relational and NoSQL databases (Kudu, Oracle, Elasticsearch, Vertica), Big Data, Linux, VM basics, Docker/Containers, Tomcat, Shell Script, Python, Data structures, Algorithm, Object-orientated programming techniques, design patterns, Java Concurrency, Memory Management.
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Stay grounded with our free meditation, mindfulness and coaching sessions via our mental wellbeing platform TELUS.health. - Shipping data comes from more than 150+ carriers worldwide, including DHL, FedEx & DPD.
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Knowledge of data engineering technologies and platforms, such as SQL, Python, Spark, Kafka, Snowflake, DBT, AWS, Azure, or GCP. As an AVP Enterprise Data Engineering, you will set the direction and vision for the technologies that support various business units at Pacific Life. You will manage the architecture, design, development, and implementation of data solutions that satisfy the business requirements and fit the data strategy.
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Ability to operate, use, and interpret data from a wide variety of equipment to perform anesthesia care as well as necessary perioperative or operating room care to support the safety and wellbeing of the patient while they are under the direct care of the CAA.
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Ability to operate, use, and interpret data from a wide variety of equipment to perform anesthesia care as well as necessary perioperative or operating room care to support the safety and wellbeing of the patient while they are under the direct care of the CRNA.
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As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Demonstrated proficiency with Data Science, Statistics, and Project Management.
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Collaborate - Solicit teamwork of group and take ownership of timely and accurate follow through of group workload and data integrity. Hands on experience with Surface Analysis techniques - including (but not limited to) X-ray Photoelectron Spectroscopy (XPS), X-ray Reflectivity (XRR), X-ray Diffraction (XRD), Auger Electron Spectroscopy AES), Secondary Ion Mass Spectrometry (SIMS), Electrical Characterization, Physical/Mechanical Characterization, Thermal Analysis, Scanning Electron Microscopy (SEM), Electron Dispersive Spectroscopy (EDS), and Electron Backscatter Diffraction Spectroscopy (EBSD.
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8-10 years of experience in large implementations of data catalog, data quality and data privacy execution, with extensive knowledge of data management and data governance principles, implementations and latest industry trends.
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Your colleagues on the DPI Platform team will include analysts, developers, and QA and you will work very closely with DPI’s Data (DTCC) Team, as well as analysts and developers across technology, and business partners such as key account managers.
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Ability to demonstrate knowledge of the principles of growth and development over the life span and ability to assess data reflective of the patient’s requirements relative to his or her population-specific and age specific needs.
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