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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Spearhead the delivery of innovative design solutions by leveraging your expertise in three-dimensional modeling across a wide range of civil and geotechnical engineering projects. primarily in civil design; including complex earthworks, mining (tailings, heap leach pad, waste rock stockpile design, reclamation), stormwater and surface-water controls, groundwater science, landfill design and remediation, and civil infrastructure in the power sector and water treatment facilities, as directed by the Team Leader, team members, and/or project engineer.
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Be responsible for building data pipelines & modeling for producer data steward. 10 years of relevant experience in Data Engineering & Modeling. Advanced skills in data analysis and data governance tools (e.g., SQL, SAS, TOAD, Python, Hadoop, Teradata, Databricks, Snowflake, Tableau, Collibra, Infosphere, Alation, etc.
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Design data models to extend business content objects or create new data models (SAP HANA Modeling and ABAP CDS Modeling) to support self-service operational and analytical reporting needs.
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Advanced Analytics - Demonstrated proficiency in implementing advanced analytics solutions within Snowflake, including forecasting, predictive modeling and anomaly detection, leveraging Cortex AI.Machine Learning Utilization- Proven track record of utilizing machine learning models directly within Snowflake to derive actionable insights from large datasets.
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Pump station design and rehabilitation, collection system condition assessment and design, inflow and infiltration studies, collection system rehabilitation, hydraulic modeling, water distribution and storage, with potential opportunities to engage on treatment projects.
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Conducts software modeling and simulation to ensure system functionality. Our clients include property and casualty insurance carriers, law firms, third-party claim administrators and government agencies that use independent services to confirm the veracity of claims by sick or injured individuals under automotive, disability, liability and workers' compensation insurance coverages.
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Proven experience (5+ years) in data engineering, with a focus on data warehousing, ETL, and data modeling. Technology:SQL Server, Snowflake, Azure Cloud, ADF, Azure Functions, Python, PowerBI, Log Analytics, App Services, Event Hubs, DBTMinimum Experience and KnowledgeSolid understanding and implementation experience of data vault 2.0 methodology.
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Design and detail for stormwater management [SWM]: hydrologic & hydraulic [H&H] modeling, erosion control, sediment control [E&SC], relevant design calculations, etc. Experience working with stormwater management, especially while utilizing Hydrology and Hydraulics (H&H) modeling tools; experience using HydroCAD is a plus.
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Link content representations to content success metrics through the use of Machine Learning / predictive modeling. 1+ year experience in industry working with Customer, Content, or Product data modeling.
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The successful candidate will have experience in highway design including Highway geometrics, roadway modeling and cross section development, traffic control, signing and pavement marking, utility coordination, and right-of-way plan development.
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Years of Experience: level 2 (3<5 years) Right to hire: Yes Job Description: Prudential Global Technology is seeking an onshore resource, with RTH that will support reporting needs (Tableau, Python, Data modeling and optimization.
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Strong experience in big data modeling, data analysis, and Business Intelligence (BI) tools such as Tableau, Power BI or QlikView. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.
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Drive the team to conduct market research, SWAT analysis, market analysis, value modeling, and solution pricing. The company’s portfolio includes reliable and eco-friendly MFPs and printers, as well as business applications and consultative services which enable customers to optimize and manage their document workflow, reaching new heights of efficiency.
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Specializes in advanced statistical and/or econometric modeling utilizing SAS or R software, Excel/VBA, SQL, Python and other programming languages and applications; Specializes in econometric and analytical modeling, statistical and machine learning techniques for analyzing large sets of financial data, including: sampling, hypothesis testing, optimization; time series, regression, decision tree, and cluster analyses.
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modeling job Title: baker Company: Veterans Prime in Roseland, NJ
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