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Zurich North America is looking for an Associate Data Scientist/Data Scientist to join our growing Data & Analytics Team based out of our North American headquarters in Schaumburg, Illinois with a hybrid work schedule available.
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Gen3 is currently seeking a talented Data Scientist to join our team, dedicated to supporting the Internal Revenue Service (IRS) on the ISSM Vulnerability Compliance and Remediation Program.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the innovative products we are building. One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning.
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The State of Connecticut, Department of Public Health (DPH), is currently seeking a qualified and motivated Data Scientist to join our team. This position will serve as Project Director and lead analyst overseeing and coordinating the data elements needed to fulfil the requirements of a newly awarded Federal State Maternal Health Innovation Program Grant.
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The Fraud Analytics unit within the Fraud Analytics and Data Operations (FADO) Division of the Office of Inspector General (OIG) is seeking a Data Scientist (Data Scientist I.
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Job description H2Ok seeks a highly motivated and skilled Data Scientist to join our team and contribute to finding meaning in challenging data. We are bridging OT (operational technology) and IT (information technology) to provide data-driven optimization of facility performance in liquid-related processes (e.g., changeovers, cleaning/flushing, Clean-in-Place optimization, real-time product & ingredient QA/QC, wastewater optimization.
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A PhD or master’s degree in computer science, computational statistics, mathematics, physics, engineering, optimization or related applied mathematics and technical disciplines as they pertain to data science/machine learning (ML.
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We're looking to hire a Data Scientist to take the lead on advanced analytics and predictive modeling to serve the needs of our business today and for a broader scale years from now. We're looking to hire a Data Scientist to take the lead on analysis and metrics to inform our product and business.
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As a Data Scientist at TRM Labs, you will collaborate with an experienced team of engineers, data scientists, and research scientists to build scalable systems to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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The primary purpose of the Associate Data Scientist position is to provide bioinformatics analysis of next generation sequencing (NGS) data for faculty across the institution, to process NGS data for Advanced Technology Genomics Core facility, to perform quality control (QC) analysis and to maintain QC metrics and sample records of NGS experiments on the servers, and to meet with faculty to review data analysis results.
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We are seeking a highly motivated and talented Senior Data Scientist to join our team of experts in developing and maintaining recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps.
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Workforce SchedulingFlex Job Summary The Data Scientist uses the enterprise’s vast data repositories to identify key signals capable of predicting and optimizing the results of the enterprise’s business plan implementations.
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Work in team with other data scientist to generate hypothesis, rigorously working to prove or disprove and provide a comprehensive analytic report on problems at hand. Experience must include: working with statistical, mathematical, predictive modelling, Artificial Intelligence, Machine Learning, NPL knowledge, data visualization and data preparation; querying databases and performing statistical data analysis; knowledge of big data technologies, AI, Machine Learning, NLP; knowledge of analytics and statistical software packages R, Python, Vertica, Hadoop, Tableau, SAS, SQL, MS Azure.
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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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Title: data scientist Company: Alakaina Family Of Companies
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