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Extensive experience with exploratory data analysis, modeling and simulation with programming languages such as Python and R is required. You will work closely with the senior leaders in R&D (Discovery through to Pre-clinical and Clinical Development) on integrating QSP modeling into all facets of R&D. You will have the opportunity to develop strategies and processes for a role that will have great strategic impact on the company, which is undergoing an exciting metamorphosis by becoming a more digital, data-driven R&D enterprise.
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Collaborate across multidisciplinary teams—Compliance, Data Science, Model Risk Management, Data Governance, and Human Resources. This position reports to the Head of Fair Lending and works closely with the Head of Data Science, Fair Lending Compliance, and Model Risk Management to establish and lead a comprehensive and robust Fair Lending Analytics function.
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The firm is the No. 1 investment bank for global M&A transactions under $1 billion, the No. 1 M&A advisor for the past eight consecutive years in the U.S., the No. 1 global restructuring advisor for the past nine consecutive years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by Refinitiv.
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Conduct hydrologic and hydraulic modeling, analyze data, and prepare reports and recommendations for water resource management projects. Proficient with stormwater modeling software such as CivilStorm or StormCAD required.
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Expertise in at least one of the following functional areas as applied to the life insurance industry: predictive analytics / data science, experience studies, financial reporting, financial modeling, mergers & acquisitions, and product development / pricing.
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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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Mining, data modeling, natural language processing, and machine learning to extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e. calories, heart rate, breast cancer, maternity.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This hands-on role will report to the Workday Principal Administrator as part of HR Technology Team. This role will drive HR Data reporting and analytics strategy, data discovery and collection, data security, data modeling, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Proficiency with Data Build Tool (DBT) and Semantic Modeling. Over 5 years of experience in data modeling, relational databases, and complex SQL. At least 3 years of data warehouse experience, with a preference for Databricks.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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As a Senior Analyst, you will have the opportunity to grow and develop your skills as a finance business partner through various responsibilities, including financial modeling and analysis, forecasting and budgeting, management reporting, and data analytics.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Technical Expertise: A deep understanding of Enterprise Software architecture, design patterns, and modern programming languages coupled with a strong foundation in machine learning algorithms, data modeling, and MLOps practices across the major cloud providers (AWS, Azure, GCP.
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Experience with advanced analytic techniques, such as multivariate regression analysis, Bayesian shrinkage, predictive modeling, logistic regression, factor analysis, sales forecasting, response prediction, advertising effectiveness, consumer profiling, market mix and ROI measurement.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A deep understanding of applied statistics including sampling approaches, causal modeling, time series analysis, and data-mining techniques. Ability to access, analyze, interpret, and communicate ads performance insights leveraging a wide range of standard data science tooling.
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Expertise in data architecture concepts, including data modeling, data integration, data warehousing, and data lake design. Provide guidance on data integration, data modeling, and data warehousing strategies.
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data modeling jobs in Teaneck, NJ
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