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Data Specialist, Corporate Finance Analytics page is loaded. Data Specialist, Corporate Finance Analytics. The Specialist will lead the planning and execution of solutions by leveraging data analytics, technology tools, and other relevant resources to address identified process gaps and challenges.
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The focus of the Data Specialist is to properly report production and processing information from the seed to sale system (METRC/Biotrack/MJ Freeway), ERP (Dynamics NAV), and our internal systems for all identified locations in Region 2.
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The BIM Data Specialist plays a vital role within the Virtual Design and Construction (VDC) team, responsible for managing and organizing Building Information Modeling (BIM) data and supporting various BIM and VDC initiatives.
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Must have strong experience in AWS cloud services, particularly data related services such as Glue (Spark, Data Catalog, Data Quality), EMR, Athena, Kinesis, S3, Aurora, RDS, Redshift, DynamoDB.
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The Data Visualization Specialist is responsible for creating organizational value by combining exceptional analytical skills with knowledge of data visualization techniques to deliver actionable information, analyses and reports aligned to Performance Management objectives.
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Manage all aspects of patent-related work in support of the TTIPO Technology Transfer and Patent Specialist (TTPS) including: o prepare and route invention/patent filing recommendation packages for review,enter data, perform data quality checks, review and attach information relating to: patent-filing, patent annuities, procurement of patent legal services , patent workflow.
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Leverage telematics data and insights to analyze causes of accidents or near misses, identify risk trends, and develop plans to mitigate the risk. Provide analysis of internal safety audits and accident statistical data; track compliance of corrective actions / resolutions.
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You will help the data science team lead efforts related to the business of the Brooklyn Nets, New York Liberty, Long Island Nets and Barclays Center and all other BSE Global properties. Hands-on experience in machine learning, relational databases, and open source programming languages (Python, R) for large scale data analysis.
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The Principal Data Modeler is a Data Architect (DA) at DTCC will consult with information technology, data analytics, business/ product creation and development staff to design and implement the blueprint of a database to store information for a specific system that will support the work of the enterprise.
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About the Opportunity This internship offers a software engineering, data science, computer science, bioinformatics, or plant breeding student the unique opportunity to explore working with a highly collaborative agricultural Research and Development group focused on breeding berries.
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Expertise in Python, R, SQL, statistics, data mining. SOSi is seeking data talent to unlock insights from massive datasets supporting strategic national security objectives. SOSi is seeking a highly skilled Data Scientists to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in.
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In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis. Perform statistical analysis and data mining to create predictive systems.
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In our TransUnion proprietary analytics platform build multi-touch attribution models (MTA) and marketing mix models (MMM) that are based on statistics, econometrics, and/or machine learning techniques such as logistic regression, choice model, time-series model, panel data model, Bayesian statistics, ridge regression, structural equations, probability theory, clustering algorithms, etc.
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Participate in the creation and continuous enhancement of dashboards and data presentation methodology, employing innovative data visualization techniques for impactful findings using Power BI, Excel, Smartsheet, and other data reporting tools.
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Model Integration & Scalability: Collaborate with cross-functional teams to integrate data science solutions into scalable, production-grade systems using open-source frameworks like Apache Spark and containerization technologies like Docker.
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Title: data specialist Company: Jacuzzi Group
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