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CrowdStrike has always been industry pioneer in its use of Machine Learning and Artificial Intelligence: from our first to market use of ML for malware classification, to our cutting-edge Generative AI powered natural-language interface, Charlotte.
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You will use cutting edge data engineering techniques to create critical datasets and dig into our mammoth scale of data to help unleash the power of data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) As a Walmart Data Engineer in Marketplace, you will dig into our mammoth scale of data to help unleash the power of retail data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.
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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.
$80,000 - $110,000 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
$80,000 - $110,000 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Join us to expand your technical career through the lens of work on many novel projects and use cases to expand your proficiency in real-world health care data, statistical analysis, data science and AI skills on healthcare.
$80,000 - $110,000 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Join a rapidly growing team of professionals working to build a world-class data science practice with a focus on solving real-world health challenge and reduce the health disparities. Lead cohort meetings and workshops for data science awardees.
$80,000 - $110,000 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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You will also identify and analyze the real-world clinical data to address scientific questions, define data strategy, build statistical analysis methodology and plan, and help us building solutions and tools to help answer complex clinical research questions, with a focus on health disparities.
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Our work includes novel areas including machine learning/ AI, data visualization, and cloud technology. Conducts advanced data analysis using real-world patient clinical or electronic health record data by employing the statistical methods to address crucial research questions related to cardiovascular disease, health disparities and equity.
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Experience working with large-scale, complex data sets such as Electronic Health Record data, or research cohort data in the clinical domain. Collaborate with data engineers, data scientists, project managers, clinicians and domain experts to refine research questions and prepare the statistical analysis plan and report.
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Cardiovascular Data Analysis expertise. + Three (3) or more years of experience in patient clinical data analysis. You will closely work with American Heart Association data scientists, engineers, clinical and research scientists to creatively address medical research challenges.
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A minimum of three (3) years of experience using R programming language (Python is a plus) If you're ready to make a significant impact and contribute to a world of healthier lives, we invite you to apply for this exciting Sr. Statistical Analyst role at the American Heart Association.
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Science & Research. As a mark of our commitment to employee well-being, we also offer an employee assistance program, employee wellness program and telemedicine, and medical consultation. Senior Statistical Analyst.
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Experience with cloud deployment (AWS, Azure, GCP) Provides statistical analysis and reports including hypothesis testing, forecasting, and predictive analytics. Proficiency in both statistical modeling and machine learning algorithms, model tuning, and validation of developed algorithms.
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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