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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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Extensive knowledge and working experience with Machine Learning libraries/frameworks, and data processing/visualization tools. As Lead Data Scientist, you will be responsible for driving the design, development, implementation, and enhancement of advanced data science initiatives, aligning directly with strategic objectives.
$175,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Apply machine learning, image processing & statistics to problem solving. Are you a Senior Data Scientist with geospatial and computer vision experience looking to work for an exciting start-up company who offer excellent hands on training and structured progression.
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Expertise in machine learning, natural language processing, and using AWS AI services like SageMaker. Enterprise, SMB, and Start-up clients come to us for our deep experience with Big Data, Advanced Analytics, Machine Learning, Artificial Intelligence and more.
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Understanding of machine learning algorithms (e.g. k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests), statistical analysis, and data visualization techniques; Staying current with the latest advancements in data science and machine learning.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Stay updated on emerging technologies and industry trends related to real-time data processing, algorithms, machine learning, geospatial analysis, and cloud computing. Proficient in image processing, algorithm and machine learning libraries (SciPy, Pytorch, Tensorflow, Scikit-Image, Scikit-Learn, OpenCV.
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Previous experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc. You will drive the delivery and adoption of novel data science approaches across medical imaging, natural language processing/generation (NLP/NLG), autonomous systems, edge-AI, graph neural networks, and other state-of-the-art applications.
$151,800 - $253,000 a yearExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Develop, tune, and deploy statistics & machine learning models including but not limited to classification, regression, natural language processing, forecasting, change point detection, sentiment analytics, etc.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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Experience using statistical analysis, machine learning algorithms, deep learning, large language models, NLP, image recognition and predictive modeling. Experience applying statistical or machine learning algorithms, econometrics, and/or predictive modeling.
$55 - $90 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. The Data Scientist - Machine Learning at The Friedkin Group (TFG) will design, develop, implement, maintain, and improve advanced data science initiatives across business units, directly aligning with strategic objectives.
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The Data Scientist (Machine Learning) will design, develop, implement, maintain, and improve advanced data science initiatives across business units, directly aligning with strategic objectives.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, Machine Learning, Artificial Intelligence, Cognitive Science or other quantitative fields or foreign equivalent.
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Minimum of (2) years of experience working as a data scientist or in a related field. Role: Data Scientist. Experience with data visualization tools: Tableau, PowerBI, Looker, etc.
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machine learning data scientist processing jobs in Houston, TX
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