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Master’s degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field (MBA Preferred.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Masters degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field and 4 years of relevant experience in data analytics, consulting, and/or financial planning & analysis role (MBA Preferred.
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Master’s degree in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required.
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Desired Background PhD in Computer Science, or similar fields Expertise in data visualization, human computer interaction, or big data analytic techniques Knowledge of statistics and machine learning Proficiency in data structures and algorithms Expertise in visualizing complex data in popular frameworks (such as ggplot, d3, matplotlib, plotly, bokeh, etc.
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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
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Master of Arts or Science degree or higher in a quantitative discipline such as data science, mathematics, statistics, earth science, quantitative social sciences, geographic information science, computer science, physics or other.
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Requirements: Bachelor’s degree in Computer Engineering, Computer Science, or a closely related field and two (2) years of experience as a IT Analyst, Data Analyst, or closely related technical occupation.
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The candidate will work with our researchers at JPL and with researchers at UC Irvine (Earth System Science and Computer Science) under the leadership of Prof. Eric Rignot to develop advanced ways of analyzing these satellite data and learn more about the physical processes controlling ice sheet evolution and subsequent impact on sea level rise.
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MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
$80,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Our interests span both research and practice, including artificial intelligence, big data, bioinformatics and computational biology, data mining, human-computer interaction and experience, machine learning, meta-heuristics, networking and mobile computing, parallel and high-performance computing, software engineering, types and programming languages, and web technologies.
$4,530 - $6,056 a monthInternExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Educational Qualifications Bachelor's Degree (Computer Science or Software Engineering) One of the following certifications preferred: o Snowflake SnowPro Core/Advanced Architect o AWS Certified DevOps Engineer, o AWS Certified Solutions Architect, o AWS Certified SysOps Administrator.
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Must have a Bachelor’s degree in Management Information Systems (MIS), Computer Science, Information Technology, Statistics, Engineering, Mathematics, Data Science, Machine Learning or a related field and 5 years of progressive, post-baccalaureate advisory and/or consulting work experience.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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