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The LCRR Regional Lead will work closely with the Specialized Solutions group to apply dashboarding capabilities, advanced data analytics, and machine learning for predictive modeling of SL material identification but will not be responsible for development of these tools.
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Proficiency in financial modeling and data analysis tools (e.g., Looker, Google Sheets, Power BI). In this role, you will be responsible for managing all Total Cost of Ownership (TCO) and economic-related activities for the CCoE. You will play a crucial role in financial cost modeling, tracking, reporting and monitoring cloud spend, and ensuring the organization's cloud investments are optimized for cost-effectiveness and business value.
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As a Data Science Intern on the Data Platform National Team, you will under close supervision, develop quantitative models and statistical analyses for insurance risk modeling. Data Science Intern.
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Proficient in all concepts of interest rate risk modeling, balance sheet dynamics, fixed-income analytics, and non-maturity deposit behaviors. Job DescriptionResponsibilities include, but are not limited to: Loads data into models in /ZMdesk system, processes and generates reports for the Bank's interest rate risk sensitivity analysis as needed.
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Our services include land surveying, machine control modeling, sUAS, LiDAR, BIM, Subsurface Utility Investigation, and GIS & spatial data management services. We exist to build awesome teams and create opportunities by collecting, managing, and presenting Geospatial data.
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Basic analytics skills and data processing in Excel, business process modeling, Lean Six Sigma methodologies (preferred) Lead process design/redesign initiatives utilizing diverse methodologies including system/operations analysis, demand forecasting, constraint analysis, queuing theory application, simulation modeling, workflow analysis, and comprehensive financial analysis.
$95,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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IRI/Nielsen, EPOS/Retail Sales data sources; household panel data; interpreting Market Mix Modeling or other econometrics outputsPreferred qualifications include:Executive presence.
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Expert knowledge of data modeling, web application and cloud-based architecture patterns including hands on experience with the following: TypeScript, Python, MySQL/Postgres. The RGC focuses on leveraging large-scale genetic data to uncover the roots of human diseases and accelerate development of targeted treatments.
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Analytical and creative; you see connections between your work holistically across the business and find creative ways of approaching problems with expertise in customer data analysis, segmentation, and predictive modeling.
$100,000 - $125,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Analytics Intern. Perform basic quantitative modeling and statistical analysis in order to assess risk and viability of risk mitigation solutions. Performs basic quantitative modeling and statistical analysis in order to assess risk and viability of risk mitigation solutions.
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Knowledge of machine learning and predictive modeling techniques is plus but not required. Ecommerce Data Analyst About Us Colonial Surety Company is an insurance company licensed for business in every state, listed by the U.S. Treasury as an approved surety, and rated “A Excellent” by A.M. Best Company.
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Data analysis, statistical modeling, algorithmic trading, and collaboration with the Chief. Strong track record in quantitative research, statistical modeling, and data. o Automate model execution and data integration into the trading platform.
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The Data Science Intern is responsible for conducting quantitative analytics and mathematical modeling projects that support strategic and operational priorities. Strong technical skills: Programming tools (i.e., R, Python); Cloud Software (Azure ML, Google Analytics, Snowflake); data visualization tools (i.e., Tableau, Qlik Sense); data querying tools (i.e., SQL.
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Ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation.
RemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong expertise in marketing automation platforms (e.g., Pardot, Marketo), CRM systems (e.g., Salesforce), ABM (e.g., 6sense), Chatbot, and data analytics tools (e.g., Looker, Google Analytics.
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data modeling jobs in Northvale, NJ
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