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Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with more than 4,000 lawyers and staff in 30 offices is seeking a Data Engineer, Data Science to work closely with the team to construct and maintain technical platforms that efficiently collect, manage, and transform raw case data into actionable insights for legal teams and business analysts.
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10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science. Execute the HW Analytics Strategy that includes building a modern Unified Data Warehouse, expanded Self-Service, and Data Science capabilities.
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This role will report to VP of Enterprise Applications and Analytics, and will lead the Analytics function that covers Data Warehouse, BI & Analytics, and Data Science. Ideal candidate would be someone with a strong experience of modern cloud-based data & analytics, demonstrated delivery of data science initiatives with tangible cost savings/incremental revenue, and a product mindset.
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Qualifications Tools and skills you will use in this role: Data Prep and data science tools like Dataiku or similar tools like Alteryx, Tableau Data Prep Data Visualization Tools like Tableau, Power BI and ThoughtSpot.
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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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The Eric and Wendy Schmidt Center for Data Science & Environment (DSE) at UC Berkeley, along with an opportunity from our partners in the James M. and Cathleen D. Stone Center for Large Landscape Conservation, is accepting applications from recent PhDs in environmental science and/or data science fields interested in providing domain specific research that informs the development of data enabled solutions to our most pressing environmental challenges.
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8+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI. The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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The Associate Director of California River Restoration and Data Science will help American Rivers compile and analyze watershed and species data to evaluate the most pressing climate challenges our rivers face.
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Experience leading data science infrastructure strategy and implementation and familiarity with data warehouse design, development, and best practices. Job Description We are looking for a experienced leader to manage a newly centralized Data Science and Analytics team.
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Bachelor's degree (master's degree desired) in related field required (preferably in Geography, Social or Behavioral Science, Computer Science, Information Systems, Math or Statistics, Earth or Geo Science, Life, Physical or Environmental Science, Engineering, Business, Data Science, Data Visualization.
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Ph. D. in bioinformatics, computational biology, genomics or a related field or M.S computer/data science with 2+ years of biotech industry experience or B.S. in computer/data science with 4+ years of biotech industry experience.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Data science, machine learning, optimization models, Master’s 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)Doctorate, Masters: Artificial Intelligence.
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Knowledge of Python data science tools, such as SciKit, Numpy, TensorFlow, Jupyter. Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks.
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data science jobs Company: Soliant in Grand-island, Nebraska
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