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The Associate Director of Quantitative Science is a self-sufficient and high-impact position that focuses on supporting the statistical and data science needs in the risk-based monitoring (RBM) of clinical trials, serving in roles such as CSM lead (CSM: Centralized Statistical Monitoring), while also support other activities such as preclinical studies, biomarkers, application of AI/ML and development of analysis applications.
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Master's degree in a relevant field such as management information systems, data analytics, computer science, social science, education, statistics, data science, etc.
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Bachelor's degree from an accredited college in business, Computer Science engineering, accounting, finance, public administration or public policy, city or urban planning, transportation, or a related field.
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NET, MS Access, Oracle, SQL Server, Sybase, PL/SQL, SQL, TSQL, SSIS, SSRS, Tableau, TOAD, ERWIN, Data Modeling, Data Quality, Data Governance, Data Visualization, Java, HTML, SAS, R, Python, and other statistical/financial analysis tools and Graphical/presentation design tools, and the Internet in a Windows and UNIX environment.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes. Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, digital forensic experts, network engineers, senior investigators, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Walmart Connect is seeking an experienced data science leader to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, optimization, segmentation.
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Data science, machine learning, optimization models, Masters degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomics & Mass Spectrometry), Infectious Disease , and Quantitative Cell Science.
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Partner with Data Science, Product, and Engineering to collect requirements to define the data ontology for all of Roblox. 3+ years leading data engineering development directly with business or data science stakeholders.
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Candidates will be considered from any specialization within surface processes/geomorphology; those focusing on coastal processes, natural hazards, or the cryosphere, and who use tools such as numerical modeling, remote sensing, and big data science are especially encouraged to apply.
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You will also work closely with Fyto's Plant Science Team to collect data and monitor the health of multiple crop systems. Work with FYTO's Plant Science and Operations Departments to execute data driven action items to optimize crop health and yield.
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Construction Expertise: Oversee the entire spectrum of construction activities, from initial estimates to contractor bidding processes for industrial facilities & structures (Cold Storage Distribution Centers, Food & Beverage Processing, Packaging, & Distributions Centers, Life Science and Advanced Technology Manufacturing Facilities, Industrial Tilt Wall Distribution Centers, ASRS Robotics Distribution Centers, Data Centers, Clean Room/Dry Room Construction, MEP Driven Projects, etc.
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We combine expertise across multiple fields: high-performance scientific computing, physics-based modeling and simulation, data science, machine learning, applied mathematics, optimization, statistics, decision support, data analysis and visualization, computer systems architecture, quantum computing, neuromorphic computing, human-technology connections, and others.
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Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using GCP, Databricks and Microsoft tools.
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data science jobs Title: data architect Company: General Dynamics Information Technology
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