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Manages clinical programming team specific to SDTM, metrics and dashboards, data cleaning, ad-hoc reporting, data review, data surveillance and data mining via strategic partnerships with preferred vendors.
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Our team works on diverse industry areas such as generation – thermal, hydropower and other renewable sources of energy, transmission and distribution, oil and gas, and mining. Experience in the design of civil infrastructure such as site planning, roads, drainage, grading, earthworks, containments, deep excavations, ponds, storm water management and erosion and sedimentation control water systems, sanitary sewer systems and other municipal infrastructure.
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Doctoral level training in informatics, data mining, computer science, or a closely related field; or an PhD with demonstrated strength in Biomedical Informatics research. · Prior experience with financial management and data collection systems.
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Possess a hunter mentality with a proven track record of driving lead generation through leveraging next generation techniques (i.e. mining of LinkedIn, NIH grant/clinical-trial databases), and utilizing other social media channels (Twitter, Instagram and Facebook.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. Experience in building and designing solutions for data warehouses and experience in working with large data sets in Oracle and Snowflake.
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Past experience with Data mining, database, functional analysis, machine learning algorithm, dashboarding and data visualization is desirable. Hands on basic IT environment and script programming for automated tools in data acquisition, integration, cleaning, and data management.
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Experience with hydraulic/hydrology modeling software such as HEC-RAS, HEC-HMS, SWMM. Strong understanding of civil earthworks, grading and stormwater drainage design including environmental and geotechnical requirements.
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As the Director of Master Data Management and Data Governance, you will report to the Sr. Director of Data & Engineering Planning & Governance and be responsible for managing the master data management strategy and technology platforms to support the business and data strategy across all business verticals including Commercial, Clinical, Manufacturing, supply chain, accounting, and finance.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning.
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We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques. The Risk Data Scientist will identify and prevent fraud on our most valuable sellers.
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Experience with two or more of the following areas including Oracle 11g, Oracle Exadata, traditional data marts, Hadoop, Databricks, Snowflake, Data Stage, ETL, Tableau, Qlikview, AI/Client techniques, Java, Impala, Hive etc.
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Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.) Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc.
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The Talend ETL Developer is a key member of CHIA’s software development organization and our Data Operations and Technology team reporting to the Associate Director of Master Data Management and ETL Design.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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data mining jobs Title: financial in Boston, MA
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