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Entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow.
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Demonstrated technical proficiency in one or more of the following languages SAS (base, enterprise guide or enterprise miner) and/or R/Python while working on projects to Probability and Statistics, Finance (financial ratios, interest rates, yield curve), or data mining.
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Perform data mining and analysis to uncover trends and correlations that support operational and strategic decisions for customers and stakeholders. Reporting to the Lead Data Scientist, you will play a crucial role in our analytics capabilities, spearheading the development and implementation of cutting-edge machine learning and artificial intelligence frameworks that empower our customers to unlock actionable insights from complex data.
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In addition, the Data Scientist extracts hidden information from large sources of raw data to deliver value to business stakeholders and applies state-of-the-art data mining techniques, conducts statistical analyses, builds high-quality prediction models, and data visualizations.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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Major Programs include: Interoperability, Integration, Reporting Services, Data Warehouse, Analytics, Wellstar Clinical Partners, Population Health, Secured File Transfers, Acquisition Conversions, Affiliated Provider Support, Meaningful Use, MACRA/MIPS, Collaboration, Web Services.
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CoStar Real Estate Manager is looking for a Senior Data Operations Specialist to join a highly motivated team that is responsible for the daily operations of CoStar’s data environments. Sr. Data Operations Specialist - Atlanta.
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The IETAM applies business knowledge and trends to drive innovation across all technologies, including Media Supply Chain, Live and On-Demand Video Streaming, Content Production, Media Data Analytics, Artificial Intelligence for Media, Compute, Database, Data Analytics, Application-level services, Networking, Serverless and more.
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The Data Modernization Senior Consultant will design future-state, modern data architecture for transformation at the enterprise level using advanced cloud architectural principles for our State and Local government clients.
$107,925 - $179,875 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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3+ years of professional experience as a data analyst or data scientist. Working knowledge of at least two claims data sets (e.g. IQVIA, Symphony, Healthverity, CMS, DRG, Compile, Komodo, Truven, etc.
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Must have multiple examples of managing large, enterprise-level data and ML engineering projects. We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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Create reporting and data automations using a combination of tools and languages including SQL, Python, R, Alteryx, Tableau and Workday. As a Data Analyst II, Dashboards reporting to the Manager, Dashboards, you will play a pivotal role in supporting the execution of the reporting needs including the dashboards and reporting strategy within the People Analytics team.
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Work with cross-functional teams across analytics, data engineering, data science, sales, and product to rapidly understand the Mailchimp data landscape, and serve as the subject-matter expert for all technical marketing data requirements.
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level data mining jobs Title: data scientist in Georgia, GA
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