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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Well-versed in core advanced analytics data mining & scripting tools such as Python, R, and SQL. Collecting/cleaning/analyzing substantial marketing & web data using Google Analytics & BigQuery (or SQL.
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With strong project portfolioMinimum 5 years of industry experience (2 years with PhD and 3 years with MS) in quantitative modeling of credit riskStrong quantitative/statistical skills in the field of predictive analytics with broad knowledge of regression analysis, time series analysis, Monte Carlo simulations, artificial intelligence, and data mining algorithmsExperience with modeling financial products and/or securitization, preferably mortgage-backed securities.
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Manage data ETL to analyze the state of our clients’ businesses across a variety of systems, channels and data sources (paid search, display media, website, social media, advertising campaigns, offline media, brand sales and brand equity.
$95,000 - $105,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Apply data from BSA/AML Compliance Department stakeholders to translate qualitative risk factors into responsive risk models that leverage new technology. · Develop knowledge of new analytical techniques and data sources that provide ongoing risk mitigation, and how emerging data and technology issues may impact the achievement of BSA/AML Compliance Department’s objectives.
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Segment, Google Analytics, Metabase, Data Studio, BigQuery, LogRocket for analytics. Over time, we'll expand beyond agriculture to drive sustainable practices in other natural resource industries: fisheries, forestry, water, energy, mining, and more.
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About the Company: Standard Power is an early-stage $100M+ company providing cutting-edge Digital Infrastructure and IP to advanced data processing companies associated with sustainable energy, artificial intelligence, and Bitcoin mining.
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Draft or enhance data governance policies, including guidelines on data retention, access, privacy-by-design reviews, data protection impact assessments, data transfers and vendor management.
$156,000 - $238,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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What You Will Do : Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Practical experience in mining, analyzing and interpreting data through various statistical techniques and predictive models (e.g. Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, Deep Learning.
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Degrees in Engineering, Mining, Materials Science, Concrete Manufacturing or Construction highly preferred. As a Silvi Materials Leadership Development Program Trainee, you will have the opportunity to work within the several facets that make up Silvi Materials with 3-4 month rotations at our main facilities such as our Ready Mix Concrete plants, Rock Quarry, Sand Mine and or import terminal.
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Design and develop end-to-end business intelligence solutions using Microsoft Power BI, including data modeling, data integration, and report/dashboard creation. Ensure data security and compliance standards are met by implementing appropriate security measures and access controls within Power BI.
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Own the end-to-end architecture of the modern Safety/Pharmacovigilance Data Platforms which ingests data from the several systems across clinical, non-clinical systems and transforms it into insights for internal and external users using a scalable big data pipeline on GCP.
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Design and implement complex data models on Azure Synapse Analytics to support data warehousing and big data solutions. Experienced in big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization.
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big data mining jobs Company: Deloitte in New York, NY
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