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Utilize advanced analytics, machine learning, and predictive modeling to interpret market signals and forecast trends, providing clients with a competitive edge. You have proven work experience that covers one or more of the following functions: research and data engineering, data analytics, statistical modelling, machine learning, and/or AI / GenAI.
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Provide transformational thought leadership for analytics including advanced data modeling, predictive modeling, and analytical techniques. Are you up for applying your strong quantitative analysis and predictive analytics skills to tackle complex and impactful problems.
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From predictive analytics to data-driven marketing and attribution, our unique approach is powered by our proprietary, end-to-end tech platform that enables the brands we serve to deliver a level of personalization, value, and satisfaction that are unrivaled in the fashion industry.
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Provide leadership with predictive modeling, clustering, forecasting models, deep learning and other advanced statistical techniques to solve problems. 10+ years of experience in data science, data engineering, advanced analytics, machine learning, statistics preferred.
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Develop/Support complex predictive modeling projects and overseeing the implementation of advanced analytics solutions. Proven experience in predictive analytics initiatives and projects.
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Use statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. Develop and implement data models, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
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The firm delivers exclusive market information, conclusion-driven insights, and predictive analytics through a SaaS platform. Green Street provides preeminent and actionable commercial real estate research, news, data, analytics, and advisory services in the U.S. and Europe.
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Licensing: Our firm is subject to certain regulations, so bear in mind that you need to become an SEC registered representative by passing the Series 65 regulatory exam soon after starting (if you are not currently a CFA Charterholder.
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Proficiency with Git is required; previous experience with the Atlassian product family (Confluence and Jira) is a plus. Excellent programming skills with 4 – 5 years of experience in Python (e.g. Pandas, SQLAlchemy, Flask, FastAPI, etc.
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Identify pertinent datasets, evaluate data for suitability for predictive modeling, and document data logic, rules, and other pertinent metadata. Build predictive models which support workforce management’s strategic initiatives.
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Analytics: Neural Networks, Graph Computation, Approximate Nearest Neighbors, Time Series, NLP Visualization: Tableau, Plotly, Excel Infrastructure: Big Data, Cloud Computing, High Performance Computing (GPUs) Experience: 5+ years related field.
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Experience with predictive analytics and medical software products. Collaborate with Nihon Kohden’s NK Digital Health Solution subsidiary to enhance existing digital health solutions and develop new products.
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This role is part of an Analytics Center of Excellence housed within the MABI function that aims to differentiate AbbVie as a leader in omni-channel customer experiences and to build lasting relationships with consumers through omni-channel experiences powered by data and analytics.
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Oversee the integration and optimization of technology, including advanced data analytics, artificial intelligence, and machine learning, to enhance supply chain efficiency and predictive capabilities.
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1-3 years of experience in conducting financial/economic research, publicly traded real estate securities, general securities, and capital markets. Specifically, Green Street offers the unique opportunity to build a career in equity research as part of a highly respected, experienced and acclaimed research team.
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predictive analytics jobs in Irvine, CA
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