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The Role: The UChicago Crime Lab and Education Lab are seeking a Data Science Manager with strong technical and project management skills to work on large-scale social policy experiments in the areas of crime and education.
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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 Business Analyst, Data Science to contribute to the creation of business and data analyses using technical platforms that enable case teams to efficiently manage and monitor vital information, deadlines, and documents related to their practice, clients, and matters.
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Doctorate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Public Health, Economics, Biostatistics, Health Policy, Statistics, or Biometrics or equivalent experience.
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Bachelor’s degree (or foreign education equivalent) in Applied Mathematics, Computer Science, Engineering, Information Technology, Information Systems, Information Management, Mathematics, or a closely related field and five (5) years of experience as a Director, Data Science (or closely related occupation) launching, operating, leading and implementing document processing, computer vision, and Deep Learning (DL) practices using TensorFlow, Keras, MXNET, or H2O.
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Ascend Performance Materials Holdings, Inc. in Houston, Texas seeks Data Science Manager (IT Business Manager). Analyze data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. 5+ years of experience using AI/ML , data science software (e.g., Python-based tools) The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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Contribute towards advancing the AI Engineering and Data Science discipline in Ford Pro through the Community of Practice, including but not limited to driving data best practices, improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.
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This role is primarily responsible for establishing field partnerships, identifying impactful opportunities for the application of data science, specifically Artificial Intelligence (AI), Natural Language Processing (NLP) and Large Language Model (LLM) capabilities , and setting the vision and strategy for implementing these capabilities as two separate data products - an Advisor Virtual Assistant and a Customer Service Representative (CSR) Support Bot.
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MS/PhD in a quantitative or scientific discipline (e.g. engineering, mathematics, statistics, computer science) with 8-10+ (BS) 6-8+ (MS) or 3-5+ (PhD) years of relevant data science/analytics experience in the pharmaceutical industry.
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Masters Degree in bioinformatics, computational biology, data science, data engineering, or other applied science with 3+ years of relevant work experience. Bachelors Degree in bioinformatics, computational biology, data science, data engineering, or other applied science with 5+ years of relevant work experience.
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We are seeking a passionate data scientist to work together with the Peacock Science & Technology Fellow on critical Peacock Decision Science initiatives and to boost innovation and research in Machine Learning, Artificial Intelligence and Media Science.
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Preferred: Master's or PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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Experienced technical lead for the data science team, with experience mentoring team members. Conceive, plan and prioritizing data projects with the Director of Data Science & Machine Learning.
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data science jobs Title: associate Company: Stanford Medicine
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