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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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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.
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The Data Scientist will use data and their analytical ability to build big data algorithms to interpret enriched data sources automatically, extract insights from text data, manage large amounts of data, merge data from varied data sources, ensure consistency of datasets, and create visualizations to aid in understanding data.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Knowledge of big data technologies such as Apache Spark and Hadoop. Expertise in Azure tools such as Databricks, Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database.
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The Data Science organization within ExxonMobil Supply Chain is responsible for partnering with our central ExxonMobil technology organization to develop end-to-end data science solutions to improve decision making on a wide range of topics including sales & operations planning, logistics & distribution, and materials management.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Integrate data from Segment, Google Analytics, Google Tag Manager, Google Ads, and Facebook Ads into data lakes and warehouses including BigQuery and Cloud Storage inside Google Cloud Platform.
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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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Communicates how T-Mobile can enable industry 4.0 capabilities to explore ways of boosting Commercial business productivity through robotics, IoT, big data analytics and augmented reality.
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Knowledge of statistical and data analysis tools and software, such as Stata, Python, R, SQL, and/or data visualization tools such as Tableau, Power BI, etc. Knowledge of statistical and data analysis tools and software, such as Stata, Python, R, SQL, and/or data visualization tools such as Tableau, Power BI, etc., preferred.
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Create and execute scripts for data exploration in Big Data systems, constructing models to visualize trends, patterns, and outliers for business insights. Additionally, the individual will contribute to crafting strategies for data governance, user access, dashboard deployment, and data report optimization.
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Excellent data entry skills. PharMerica is the long-term care pharmacy services provider of choice for senior living communities, skilled nursing facilities, public health organizations and post-acute care organizations.
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Strong experience working with SCADA, IoT devices, Data Historians, Big Data environments - Hadoop (Apache, Cloudera) , Cloud (Azure, Amazon, GCP) and messaging protocols - MQTT, MODBUS, AMQP, RPC.
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Examples include R, SAS, STATA, SPSS, Matlab, SQL, Python, Hadoop, Pig, Hive, MapReduce, Java Tableau, Excel or other big data frameworks. Apply a variety of methods such as statistical analysis, data mining, predictive analytics, time series analysis, multivariate regression analysis, statistical process control and optimization solutions.
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Client is currently seeking an experienced Data Scientist 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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Assisting in the strategy and implementation of Artificial Intelligence, Data Science, Big Data, and modern Information Management. 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.
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