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Hands-on experience with any of the following data orchestration stack, ingestion frameworks, cloud-native patterns: Apache Airflow, Kafka, Nomad/Terraform, Kubernetes/Docker, etc. Analyze business and data processing/modeling problems to develop and implement applications, systems, and data solutions.
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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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Assesses and integrates external macroeconomic, geopolitical, and market data sources (e.g., IHS, IEA, EIA, Rystad, Kimberlite, Spears, Enverus, etc.) Well versed with key market and industry drivers such as commodity prices, macroeconomic data/indicators, geopolitical environments, activities of major operators, competitive/competitor intelligence, material and operational costs, emerging technologies and operating models, as well as broader energy transition themes and strategies.
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Support payroll data entry and processing as required. For over 35 years, ISC has provided safe, high quality electrical, instrumentation and controls solutions to global leading industrial manufacturers.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world.
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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.
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Deeply knowledgeable of image log processing, QC and interpretation and an ability to advise teams on appropriate data acquisition strategies, pitfalls, and to ensure that interpretations from external contractors are of high quality and fit for purpose.
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Able to write simple queries using SQL to retrieve data from Snowflake for data load in PBCS. Experience with Hyperion Essbase (System 11. Experience in building dimensions using EDM, Load data using data management.
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The Person: *Experience Python *Experience with geospatial and remote sensing*Experience with SciPy, Pytorch, Tensorflow etc *US citizen The role: *Build Google Cloud Platform data processing pipelines *Apply machine learning, image processing & statistics to problem solving *Develop and test algorithms to demonstrate trade-offs for final selection.
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Experience with data visualization tools: Tableau, PowerBI, Looker, etc. Familiar with data visualization tools such as Tableau, Power BI, or similar. Work within Google Cloud Platform (GCP) to design and manage components of a data product or service.
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Develop a comprehensive data privacy strategy for NRG Energy and its various businesses and brands (including Vivint, Reliant, Direct Energy), including monitoring strategy and risk assessments.
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Work directly with Business domain experts and Data Scientists to develop high quality, reliable, scalable, machine learning systems. 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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About the role As the SAP S/4 HANA Finance Functional Lead, you will be responsible for various development activities associated within the SAP Finance module, Vendor Invoice Management (VIM) and the SAP Master Data Governance - Financials (MDG-F) modules.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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They will lead a team of data scientists to develop cutting edge artificial intelligence (AI) and image processing methods for digital pathology, and to conduct clinical evaluation studies for implementation of these AI tools in the pathology clinical work flow.
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data job Title: data quality analyst Company: Citi in Houston, TX
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