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Bachelor’s degree in in a quantitative discipline: computer science, applied mathematics, statistics, operations research, information systems, engineering, economics, or equivalent.
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Master's degree or above in Data Science, Computer Science, Biostatistics, Statistics, Biomedical Informatics, Engineering, or a related field. We are seeking a Data Science Fellow, to develop essential skills in healthcare analytics and modern methods in artificial intelligence/machine learning to advance research in precision medicine.
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Bachelors/Masters in a quantitative discipline (e.g., AI, statistics, operations research, econometrics, computer science, engineering) with 10+ years (or PhD with 8+ years). We are looking for a Data Science Director who is passionate about analytics for large scale ML systems to help drive data-informed decisions for the Monetization Infrastructure team and help shape the long term strategic direction of the development of this system.
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Bachelor/Masters in Computer Science, Finance, Accounting, Economics, Statistics or operational research. Demonstrated experience with the data mining tools SAS/Anaconda and SQL preferably through Oracle PL/SQL.
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Bachelors or Masters in Statistics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics or a related field. Experience with data modeling, machine learning algorithms, optimization, and data science techniques e.g. decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, cross-validation, and model evaluation.
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Master's degree in a quant-based field e.g., Analytics, Mathematics, Economics, Computer Science or similar technical disciplines or equivalent practical experience. Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or quantitative field. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service.
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Master’s degree or PhD in Engineering, Statistics, Machine Learning, Computer Science, Econometrics, or other quantitative fields. Prior experience leading cross-functional teams and transition to leverage cloud capabilities for data science using tools such as Snowflake and AWS.
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Position requires a Master's degree in Computer Science, Statistics, Mathematics, Engineering, Econometrics, Physics, or related technical field plus Four (4) years of experience in the job offered or in a related position involving an advanced scientific or mathematical field.
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Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Master's degree in quantitative finance, statistics or a related quantitative field.
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Working across technical and functional teams, you will utilize the latest data science, data engineering, data visualization and business intelligence strategies, methods, and standards to bring forth market leading insights.
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Bachelor's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. Demonstrated experience applying data science methods to real-world data problems.
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A Ph. D. or equivalent doctoral degree in environmental science, plant or crop science, computer science, bioinformatics, statistics, remote sensing, agriculture, biosystems engineering, electrical engineering, or related disciplines is required.
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Master’s degree in data science, statistics, computer science, computer engineering, or information systems. Master’s degree in data science, statistics, computer science, computer engineering, or information systems and 5 years of relevant experience, or.
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