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We are currently seeking an experienced Data Scientist 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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Intermediate proficiency with cloud platforms (e.g., AWS, Google Cloud, Azure) and big data technologies (e.g., Snowflake, Spark, Kafka) As a Data Scientist working on AI and Generative AI (Gen AI) solutions, you will be at the forefront of our data-driven initiatives, working closely with leadership teams to evaluate, frame, prioritize, and develop cutting-edge analytical solutions.
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100% Remote Principal Data Scientist - up to $220k base salary - AWS, SageMaker, Athena, Glue - Innovation focused role. Our client, and innovation and technology focused upstream oil and gas enterprise, is seeking a Principal Data Scientist for a full time, direct hire, 100% remote role.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month 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. Participate in strategic planning discussions around optimizations, data science and big data analytics.
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Familiarity with cloud platforms (e.g., AWS, Google Cloud) and big data technologies (e.g., Hadoop, Spark). Proven experience as a Data Scientist, preferably in the real estate industry.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Tool Expertise -Python, R, SQL, SAS Good To Have Experience in working on Big data, Cloud, Hadoop, Spark, End to end deployment. we are looking for a Senior Data Scientist to help drive actionable insights using artificial intelligence and machine learning algorithms.
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Identify and frame the data science / Client opportunity from understanding the business problem / opportunity. Work independently on data science / Client projects for multiple business functions.
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Identify and frame the data science / ML opportunity from understanding the business problem / opportunity. Work independently on data science / ML projects for multiple business functions.
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Fluency in big data technologies such as Databricks and cloud Machine Learning frameworks like AzureML. Our client, a hyper growth PE firm based in Houston is seeking a Data Scientist who embodies strategic leadership and a practical, application-oriented mindset.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) The data scientist will be part of a management consulting and data science team that performs analysis on client data and assists with the development, implementation and integration of pioneering solutions using different methods, techniques and tools.
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About the Role: We are seeking an experienced Data Scientist to join our Big Data and Advanced Analytics department. As a Lead Data Scientist, you will be pivotal in collaborating with the Data Engineering team and various business units to tackle oil and gas midstream challenges through the use of machine learning, data science algorithms, and artificial intelligence.
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We are seeking an experienced Data Scientist to join our Big Data and Advanced Analytics department. Engage in strategic planning discussions related to optimization, data science, and big data analytics.
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Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
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Position - Data Scientist. Analyze data and deliver insights via visualizations and dashboards. Gather, cleanse, and transform internal and external data. Educational background in Statistics, Applied Mathematics, or scientific field is a plus.
ExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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5+ years of practical experience framing and solving business problems in supply chain, logistics, or operations with probability / statistics, visualization, inferential or predictive models. Software engineering skills - best practices of software design, API design, knowledge of design patterns, version control, and production considerations such as performance, logging, maintainability, refactoring, testing and debugging.
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big data scientist jobs in Houston, DC, Canada
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