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Implementation experience of two or more of Modern data platforms (AWS/Azure Synapse/Redshift/Snowflake, Databricks, Redshift, Big Query,) required. Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake.
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Experience with cloud data platforms like Databricks, Snowflake, AWS, GCP or AzureAdvanced level SQL for data transformations, queries & data modelingExpertise with Git or other commonly used version control systemsStrong background with advanced data languages like Python, R or SASMust be flexible and willing to work the demands of the department which may be subject to evenings, weekends, and holidays.
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The Customer Master Data Management Specialist will be part of the Marketing team at Willscot and will own and maintain customer and prospect databases in Salesforce. Identify opportunities for process improvement and optimization related to customer master data management.
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Performing data acquisition using JSon, SQL, ODBC, JScript, or API for Big Data extracts. The Data Scientist Senior is responsible for providing new insights from predictive statistical modeling activities, advanced data analysis, and specialized analytical support for business operations.
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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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Experience with syndicated and shopper data (Nielsen, IRI, Retail Link, VIQ, CKB, RSI, etc) We’re a leader in the pet care category and part of the world’s largest food company—so you can imagine our salesforce is BIG. In pet care, we focus our sales efforts within the retail and veterinary sales channels to ensure we’re at the forefront of consumers’ minds.
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Als (Senior) Consultant Data Scientist liegt Dein Fokus auf der Konzeption und Umsetzung von Data Science-Projekten. Weiteres zum (technischen) Umfeld: Zookeeper, Elasticsearch (Logstash, Kibana, Beats und X-Pack), MapReduce, NiFi, Zeppelin, Hortonworks Data Platform, Falcon, Atlas, Sqoop, Flume, Kafka, YARN, Pig, Hive, HBase, Accumulo, Phoenix, Storm, Flink, Ambari, Ranger, Knox, Oozie.
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6) Perform data acquisition using JSon, SQL, ODBC, JScript, or API for big data extracts and use programming languages like R, Python, SQL,.net, Java or C. Bachelors degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field and minimum 8 years of related experience, of which at least 4 years of directly related data analytics, data science, predictive modeling, machine learning, statistical modeling experience OR advanced in the required fields and 4 years directly related data science, analytics experience.
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Using advanced techniques like Computational Fluid Dynamics (CFD), you will collaborate closely with our data center design and construction teams as well as internal and external stakeholders, helping to design and efficiently operate OCI and Oracle data centers.
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We are seeking an experienced and skilled Mid-Level Data Scientist to join our team. The Mid-Level Data Scientist will be responsible for analyzing complex datasets, developing predictive models, and providing actionable insights to drive business decisions.
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Implement and manage industry best practice tools and processes such as Data Lake, Delta Warehouse, ETL Tools, GCP, Big Query, Vertex A, Kafka, Kubernetes, Docker, CI/CD, DevOps. 7+ years of hands-on experience in productionizing and deploying Big Data platforms and applications, Hands-on experience working with: Relational/SQL, distributed columnar data stores/NoSQL databases, time-series databases, Data streaming, Kafka, GCP Platform, and more.
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Experience with data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
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Utilize data and category insights to build stronger selling stories to drive the business. Utilize data and category insights to build stronger selling stories to drive the business. The opportunity to work cross-functionally with Sales Hub and Supply Chain, among others, will enable you to identify and manage areas of opportunity, optimizations in current ordering/forecasting process and a strategic path forward, leveraging strong cross-functional communication skills to reach goals.
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Data Acquisition: Prepare points lists of all data to be transferred between control centers and controlled apparatus, assign and program data addressing and routing information, develop Human Machine Interface (HMI) screens, travel to project sites to test and commission data transfer schemes.
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BASIS Phoenix South - Home of the Gilamonsters is hiring a Manager of Data & Assessment to start ASAP! This position provides support services to the school's faculty and staff in order to meet the mission of BASIS Ed Schools.
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big data jobs Title: data scientist Company: Brainstation in Phoenix, AZ
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