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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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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Requirements: Requires a Bachelor’s degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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Collaborate with NPM's staff across Clinical Science, Digital Health, Software Engineering, Data Science, and Informatics to detail AI model functionality and requirements - to significantly increase efficiency and reduce cost in the areas of medical document control, clinical information extraction, information synthesis, and clinical note preparation.
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Deep knowledge of common programming languages (Python, R, Julia), data science packages and frameworks (Pandas, NumPy, Scikit-learn, tidyr, tidyverse). Bachelors Degree in Computer Science, Statistics, Mathematics, Data Science, Computer Engineering, or similar field.
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As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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CrowdStrike’s Data Science team is expanding. we are at the exciting intersection of Machine Learning, Artificial Intelligence, and Security and are looking to add a Data Science Manager specializing in machine learning to our growing team.
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5 years of experience with data science and analytics technologies such as Python, SQL, Tableau, Alteryx, AWS Redshift and Lambda, and/or Google Cloud Platform. Define and evangelize the strategy, roadmap, and execution plan to deliver new data science and analytics capabilities to enable Thermo King’s customers and achieve our company purpose while enabling rapid growth.
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Proficiency in ML/Data Science/Statistical Modeling languages such as Python, R to build Propensity Models, Customer Segmentation, Churn Scores, Forecast Models etc. 3+ years of expertise with modern data science workflows on the cloud (Git, Jupyter, Python, AWS, Azure.
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Contribute to Open Spatial Lab and core facility projects in a variety of topic domains focused on geospatial data science and interactive cartography, including public health and demography, food insecurity, urban ecology, and climate justice.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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A combined 5-year BS-MS program, a minor in computer science, a Certificate in Data-Intensive Computing, and several joint programs (BS in Computer Science/ MBA , BS in Computational Physics, BA in Social Sciences Interdisciplinary – Cognitive Science Concentration, BS in Bioinformatics and Computational Biology – CSE concentration) as well as MS and PhD programs in Computer Science & Engineering.
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The Director, Research and Analytics drives the overall vision of the Office of Institutional Research by implementing effective strategies for data management, data science, and data analytics to support the centralized collection, management, governance, analysis, interpretation, and reporting of data information and evidence for making data-informed decisions.
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Experience working with data science tools and frameworks (e.g., TensorFlow, scikit-learn, PyTorch) is a plus. The ideal candidate will have a strong background in software engineering, with expertise in both frontend and backend development, as well as experience working with data science tools and frameworks.
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Master’s degree within a highly technical/quantitative discipline (Data Science, Statistics, Computer Science, Mathematics, etc.) Strong working knowledge of data mining algorithms including AI and ML techniques such as regression, decision trees, probability networks, association rules, clustering, deep learning, neural networks, Bayesian models, etc.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Lead and participate in solutioning sessions, working hand-in-hand with business/client, translating business objectives into actionable machine learning/data science use case.
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data science jobs Title: science director Company: Change Healthcare
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