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The Talent Acquisition Specialist plays an integral role in the talent acquisition efforts for SGRNA, CertainTeed & GCP R&D by supporting all aspects of recruitment. Work with managers and Talent Acquisition Manager to ensure all requisitions have ADcompliant job descriptions and maintain the job description library.
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Work closely with the Chief Data and AI Officer to define and implement CVBs data science strategy, emphasizing systems modeling, multi-omics, and neuroimaging. Cohen Veterans Bioscience (CVB) is seeking a Director of Data Science to lead our initiatives in translational research and clinical program development, with a special focus on neuropsychiatric disorders such as PTSD, TBI, and related conditions.
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Collaborate with the Talent Acquisition Manager on recruiting tasks: screening candidates, coordinating managers' interviews, tracking candidate evaluations, and preparing offer letter packets.
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Warwick’s data science team specializes in statistics, econometrics, network analytics and machine learning. Warwick’s in-house data science team works hand-in-hand with Warwick’s sector investment teams over the life cycle of an investment, leveraging innovative technologies to identify market opportunities and optimize investment portfolios.
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Experience with SAP, trend analysis and data historian systems. The Plant Maintenance and Reliability Manager will be a key contributor in driving process improvements by enabling and empowering cross functional teammate collaboration with Lean Manufacturing tools.
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Experience with data acquisition, Python/MATLAB, SolidWorks (or other CAD), and prototype assembly/fabrication are desired. Knowledge of machining, heat treating, and advanced manufacturing techniques (laser cutting, 3D printing, EDM, e-beam welding etc.
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Any third-party recruiting agreements for Legence and its affiliate companies may only be executed by Legence Holdings LLC’s CHRO or Director of Talent Acquisition, without exception. Perform data quality checks utilizing RE Tech data reports and internal processes.
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Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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For this Senior Data Scientist role, we're looking for someone with data science and machine learning experience who likes the challenge of breaking new ground. You'll have an opportunity to leverage advanced data science techniques to discover dormant issues, influence operational procedures/policies, and generate enterprise-wide solutions.
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Direct, hands-on experience with mass spectrometry data workflows through multiple commercial and/or open-source peptide sequence search engines. Demonstrated expertise of how to develop quantitative and reproducible proteomics data sets to inform on molecular characterization in drug discovery programs.
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Performs as the Facility Security Officer in the processing of SF-85, SF-86, SF-312, Fingerprinting, maintaining records, utilizes DISS and similar Defense Security Service (DSS) data systems, National Industrial Security System (NISS), and liaisons with DSS Industrial Security Representative.
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We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts.
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Master’s degree in Public Health, Epidemiology, Data Science, Healthcare, Mathematics, Economics, Statistics, Research Methods, or related fields. Reporting to the Senior Director of Commercial Data Products, the Director of Commercial Data as a Service Products will play a critical role in achieving our product strategy within the Life Science Product Organization.
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Proficiency in Python and familiarity with key data science and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). 5+ years of professional experience in a data science role, with an emphasis on writing production grade code.
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talent acquisition data science jobs Title: representative in Oklahoma
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