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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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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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Industrial software proficiency: Experience with data historian and analytics software used in industrial settings, such as Capstone dataParc, parcView, OSI PI, or SEEQ. Technical Proficiency: You possess experience with data historians like Capstone dataParc, parcView, OSI PI, or SEEQ, and familiarity with others is a plus.
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The technical domain of the Developer includes understanding D365 Data management practices and Data Integration (DI) best practices, tools and technologies, security in the environment, understanding of different data Sources like SQL Server, Oracle, Salesforce, Microsoft dynamics modules.
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Experience in the following: Data management in Dynamics 365 (Finance & Operations and Field Services), C#, SSRS. Data integration by using Common Data Service in D365. Data management and integration by using data entities in D365.
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Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. 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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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Drive business strategy discussions on how to leverage Data, AI, model development, or model validation to create improved business results.
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At the direction of the Chief Field Geophysicist analyze marginal and anomalous data and advise the client QC and Party Manager on the acceptability of the data. Knowledge of industry's best practices in 3D seismic data processing, including seismic tape and navigation processing, noise attenuation, demultiple technology, velocity analysis and model building, stacks and migrations.
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If you are a Senior Data Scientist with a passion for machine learning and artificial intelligence and have experience in North America's energy markets, we want to hear from you. Are you a highly skilled and experienced Senior Data Scientist with a passion for machine learning and artificial intelligence.
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Proficiency in data visualization tools (e.g., Tableau) to effectively communicate insights. Lead end-to-end data science projects from problem formulation, data collection, model deployment, to result presentation.
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Experience with data platforms and applications such as IHS EDM, Landmark CDS, Quorum TDM, Informatica MDM, Openworks, OSDU, and Snowflake. Fields of Data Management, Geology, Geophysics, Reservoir Management, Petroleum Engineering, MIS, or Computer Science are especially preferred.
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Job Description: We are seeking an experienced ETL Informatica Developer to design and develop scalable ETL processes and Data Warehouses (EDW) using tools such as Microsoft SQL Server, Oracle, Netezza, and Informatica.
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The Data Scientist Lead Analyst will contribute to the Medicare Clinical and Customer strategy, performing research and analysis within the Clinical, STARS, and Risk Adjustment Analytics team.
$83,000 - $138,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Cloud Integration ETL Tools, Cloud Data Warehouse, SQL, DBT, AWS Services Lambda, SNS, SQS, Event Bridge, and IoT core.
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big data jobs Title: analyst in Houston, TX
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