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The Director of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives.
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Center 3 (19075), United States of America, McLean, VirginiaDirector, Ontology and Data ModelingThe role of the Director of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.
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Causal modeling, NLP, time series, deep learning, etc. Frameworks: Flask, React, Tailwind, REST. Database / Warehouse: PostgreSQL, DynamoDB, Databricks Unity Catalog. Experience with AWS + Databricks Unity Catalog / Model serving.
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Walmart Connect is seeking an experienced data science leader to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, optimization, segmentation.
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Perform hands-on modeling and complex analyses using Python, SQL and/or R. Extensive experience with predictive modeling algorithms. Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems.
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Partner with sector specialists, investment accounting, asset data & research teams to expand the company's modeling capabilities, that includes a broad spectrum of the investment universe ranging from corporate bonds and structured products to alternative investment and derivatives.
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Assist with field inventory for traffic analysis and design, traffic data collection programs, traffic analysis and studies, technical reports, traffic modeling and simulation, traffic demand forecast and models, transportation management plan and traffic engineering design including traffic signal layout and timing, intersection design, pavement markings and striping, signing and traffic control plans and the preparation of quantity calculations and construction cost estimates.
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Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc. Familiarity with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
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Acts as a senior level resource or resident expert on analytic/quantitative modeling techniques used for Anti-money laundering. Providing hands-on leadership for projects pertaining to statistical modeling and machine learning approaches to effectively challenge and influence the strategic direction and tactical approaches of these projects.
$125,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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He/she should have prior knowledge of data integration, data warehousing, modeling, business intelligence, and data visualization / presentation concepts. Comprehensive understanding of Microsoft Azure Data Platform, covering Azure Synapse, Azure Data Factory, Azure SQL Database, and legacy Microsoft SQL Server technologies such as Database Engine, SSIS, SSRS, and SSAS.
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Education and experience in hydrogeology, geochemistry, understanding and interpreting groundwater modeling preferred. Education and experience in hydrogeology, geochemistry, understanding and interpreting groundwater modeling preferred.
$98,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Reporting to the SVP, Financial Planning and Analysis this position will lead the financial planning process, drive strategic modeling decisions in partnership with the CFO/COO and SVP, FP&A and serve as the primary contact providing, financial guidance to network operators while shaping strategy and decision making to drive bottom line growth.
$225,000 - $275,000Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience working in healthcare provider analytics related to revenue modeling, managed care contracting, population management, case management, clinical or financial decision support required.
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Possess direct experience and stay at the forefront of latest trends in machine learning, statistical test design, media mix modeling, artificial intelligence, and other data science fields. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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3-5 years of related experience, ideally in financial risk model validation, risk analytics or quantitative modeling. Knowledge of prepayment modeling, MBS pricing and risks is a plus. Economic modeling and applied statistics skills (i.e., estimation, time series modeling, Monte Carlo simulation techniques, etc.
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modeling job in New York, NY
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