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As part of the Data Engineering team, the Lead Python Data 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.
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Position for Sr. Data Scientist Technical Side Needed with HealthCare Or Financial Domain Needed Loc
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Related Bachelor’s degree in Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization or additional related equivalent work experience.
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Collaborate with machine learning scientists and data engineers to translate prototype code to production-ready code. Strong proficiency in LangChain, vectorDB and cloud platforms (Azure), model experimentation tools like MLflow, and monitoring tools like Grafana/Splunk, and CI/CD like airflow, gitlab, and Big Data management like Spark, Kafka.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of big data, data science, generative AI, machine learning, and common Python libraries. Every team member is passionate about technology, data sciences, and hands-on coding with a focus on impactful results.
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Demonstrated experience in development of dashboards, reports in BI tools - Tableau, Qlik Sense and Cognos on on-prem, cloud data lakes (Databricks, Big Data) Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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Work closely with subject matter experts and colleagues to build and scale out machine learning and AI solutions that will detect, predict, and recommend solutions to correct issues before system impact and enhance the efficiency, reliability, and performance of CVS Health’s IT operations.
$68,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud Managed SQL, Big data/data lakes, AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint. ¿ Expertise in Cloud design, architecture and development; Azure solution design, architecture and development, Microservices and App services, Cloud Managed SQL, Big data/data lakes, AI and Machine Learning, Azure Blobs, Office 365.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Microservices and App services, Cloud Managed SQL, Big data/data lakes, AI and Machine Learning, Azure Blobs, Office 365. NET Core ASP.NET, MVC, Entity framework, Unity, o JQuery, knockout, Angular, JS libraries, CSS Bootstraps, Visual Studio 2017, REST, LINQ, ArcGIS, ESRI, SQL Server, Dynatrace, o Cloud Managed SQL, Big data/data lakes.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Fluency in big data technologies such as Databricks and cloud Machine Learning frameworks like AzureML. Develops modern machine learning, statistical and ensemble methods for finding patterns from business and operational data.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. Qualified candidates need to be passionate about the Machine Learning and Artificial Intelligence space, will excel in problem-solving and combine an advanced business or technical degree with consulting or product management experience and have a record of successful delivery of complex, multi-faceted projects.
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Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) Assisting in the strategy and implementation of Artificial Intelligence, Data Science, Big Data, and modern Information Management.
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We are looking for a Senior Data Scientist to help drive actionable insights using artificial intelligence and machine learning algorithms. Tool Expertise -Python, R, SQL, SAS Good To Have Experience in working on Big data, Cloud, Hadoop, Spark, End to end deployment.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Predictive modeling using Machine Learning and Data Science techniques. Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.
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EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization.
$395,100 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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We are currently seeking an experienced Machine Learning Engineer/Software Developer to join the Big Data and Advanced Analytics department. 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.
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big data machine learning jobs in Houston, DE, Wyoming
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