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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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Demonstrated ability to work with large data sets using Python and SQL for data mining and machine learning. Knowledge of data science and machine learning methods and models (clustering, classification algorithms, neural networks, etc.
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Experience with theory and practice of information retrieval, data science, machine learning and data mining. In this role, you will dive deep into disparate datasets to improve our understanding of various components involved in Last Mile delivery, build decision-driven analytics that systematically track the overall quality of the Last mile business and program health, improve tooling to reduce cognitive load for data consumers, and extract actionable insights to drive program, product.
$104,300 - $202,800 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Time series Analysis Different algorithms like Decision Tree and Random Forest algorithms, Support Vector Machine Algorithm Deep Learning and Computer vision Neural Networks, Tensor Flow and Keras Natural language processing (NLP) and Text mining Market Basket Analysis NLP with Python, Sentiment analysis Linear regression, Scikit Learn, Confusion matrix, Decision tree, Ensemble approach Random forest, Cross validation.
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PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
$161,300 - $209,700 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD in Computer Science, Operations Research, Statistics or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
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These tools range from simple data mappers to standalone analytical tools to perform various types of risk analyses (e.g., pipe rupture, fire/explosion, equipment reliability, etc.) This is a rare opportunity to enhance your skills in data modeling and programming for scientific and technically complex use cases.
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Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences. BHC3 technology and services team consists of domain experts, data scientists, machine learning engineers, software engineers and architects who collaborate to solve the most critical problems in oil & gas industry.
$125,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) and 10+ years of Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
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Robotic Process Automation, Business Process Automation Software, SAP Automation, Artificial Intelligence, RPA, Automation, Process Mining, Automation Cloud, Automation Software, AI, OCR, Document Understanding, and Machine Learning.
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Deep understanding in machine learning and deep learning theory, publications in machine learning and data mining or related conferences is a bonus. Paid Ads team's expertise spans data analytics, high-performance AI-based online services, distributed systems, machine learning algorithms, and advertising business strategies.
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Build and maintain data pipelines and platforms to operationalize Machine Learning models at scale. Proficiency in Data Science Platforms (Domino Data Lab, Microsoft Azure, AWS, Google Cloud) | Deep knowledge in ML, data mining, statistics, NLP, or related fields | Experience in object-oriented programming (C#, Java) and familiarity with Python, Spark, TensorFlow, XGBoost | Experience in productionizing ML models and scaling them for low-latency environments | Proficient in Data Mining, ETL, SQL OLAP, Teradata, Hadoop.
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Significant experience in data mining, machine-learning and operations research. We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research.
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1+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field.
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You’re fluent in the language of statistics, machine learning and data mining. You speak the language of data and impressions, but you also understand the magic of storytelling.
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machine learning data mining jobs in Texas
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