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CUDA, Bash, and/or SQL), machine learning / deep learning methods, data analytics, and image analysis. Comprised of the best minds in a myriad of scientific and data-driven fields, the IDSO facilitates a culture grounded in our innovative "team-data science" principles, such as shared motivation, shared learning, provenance linking insights to observations and integrated data governance.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. 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.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. We're look for a Lead Data Scientist to spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
Full-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Lead Data Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Minimum Experience: 2 years of process engineering experience in a chemical or petrochemical environment; with at least 2 years of experience using timeseries tools such as SEEQ, natural language processing (NLP), building predictive maintenance machine learning productions and taking them to production, building machine learning solutions with cloud tools (AWS, Azure, Google cloud), and knowledge of applying overall equipment effectiveness (OEE) calculations.
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BS in geoscience, lunar science, planetary science, image science, GIS, remote sensing, computational science or relevant science fields with applicable experience.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. You will work closely with data scientists, machine learning engineers, and other software engineers, using the latest tools and technologies to develop analytic solutions and integrate analytic models with existing business applications.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as SageMaker, Databricks, and Dataiku.
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The Data Scientist will focus on creating and implementing machine learning models that are based on big data, specifically designed to address challenges in the drilling and completion operations.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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1+ years of professional experience as a Data Engineer, Machine Learning Engineer, Applied Scientist, or similar role. Bachelor’s, Master’s degree, or Ph. D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We are currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. Responsibilities include: Work directly with Business domain experts and Data Scientists to understand business objectives and develop high quality, scalable, machine learning systems.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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8 years of experience in a predictive analytics or data analysis OR advanced degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 6 years of experience in predictive analytics or data analysis.
$158,960 - $286,130 a yearRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The 4 years of experience must include experience with AngularJS; Typescript; Python; Plotly; Linux; Perl; Flask; API; SQL; Anova (Analysis of Variance); Regression and Correlation Analysis; Exponential Smoothing; Tableau; ETL; Data Visualization (Dash); Microservices; and Git. Must have a Master’s Degree, or foreign educational equivalent, in Computer Science, Management Information Systems, or other closely related IT field.
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machine learning computer science data scientist remote jobs Title: data scientist in Houston, Anoka, Minnesota
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