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Statistical analysis using machine learning algorithms such as natural language processing, logistic regression, Random Forest or gradient boosting. 3-5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Machine learning techniques. Statistical or mathematical software including one of the following: R, SAS, or Matlab.
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LICENSING/CERTIFICATION Any certification specializing in data engineering, big data, data science, machine learning, artificial intelligence, or statistical analysis from accredited institutions of higher learning.
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You and your team members perform research, develop and apply data science, machine learning, and statistical methods to large sets of multimedia, contextual, and metadata data. Strong background statistical signal processing, decision theory, greedy algorithms, Bayesian modelling, random algorithms, time series, hypothesis testing, classification, clustering, hypothesis testing and multilinear regression analysis.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Strong knowledge of statistical analysis, predictive modeling, machine learning, and optimization techniques. Certificate in business analytics, data mining, or statistical analysisMasters: Business Administration, Masters: Information Systems, Masters: Statistics.
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Demonstrated passion for continuous learning and staying updated on the latest advancements in analytics and transportation industry trends. Develop and implement statistical analyses and models.
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Growth Potential: Developing a strong foundation in data analytics paves the way for career growth into advanced roles such as data scientist, machine learning engineer, or data engineer.
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Artificial Intelligence (AI), Big Data, Cloud Computing, Computer Coding, Critical Thinking, Machine Learning, Microsoft Power BI, Model Building, Problem Solving, Python (Programming Language), Statistical Analysis.
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Strong programming experience with R and/or Python for statistical modeling and other machine learning applications. Familiar with current and emerging techniques in analytics (machine learning, deep learning, AI.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Leverage statistical analysis, machine learning, and data mining techniques to extract insights from data and drive data-driven decision making. Leverage statistical analysis, machine learning, and data mining techniques to extract insights from data and drive data-driven decision making.
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Proficiency in using one or more programming or scripting languages to work with data such as: Python, Perl, R, or C#. Engineering experience using large data systems on SQL, Hadoop, etc. Translate business questions into analytical problems and define clear goals for data analysis projects.
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