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Design and implement data science projects, including predictive modeling, machine learning, and statistical analysis, to optimize operations and support strategies. This role will involve leading data science and analytics activities to extract insights from large datasets, develop predictive models, and drive data-driven decision-making across the organization.
$170,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with a variety of ML and AI techniques (e.g. multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.
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Python, Data science, Machine learning, Data, Sql, Erpss, Predictive modelling, Algorithm, Statistics, Daiss, Data analysis, Predictive analytics, Artificial intelligence, Azure, Modeling, Cloud.
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As a Project Manager III at Hartsfield-Jackson Atlanta International Airport under the Office of Administration, ATL Workforce business unit, you will oversee key operational and strategic initiatives, reporting directly to the Program Management Officer Sr. Your role includes managing grants, conducting apprenticeship audits, and utilizing data analysis and predictive modeling to inform strategic planning.
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Modeling Expertise: Proven experience in predictive modeling, machine learning techniques, and developing robust data science models. Experience: 6+ years of experience in data science/analytics roles, with a minimum of 3+ years focused on data science/machine learning modeling.
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Expertise in AI/analytics for enterprise clients (e.g., NLP, LLMs, predictive modeling). Experience with data visualization tools like Tableau or Power BI. Benefits Opportunity to lead the growth & development of a leading GenAI consultancy leveraging a proven product, client work, and deep technical/industry expertise.
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80% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Use predictive modeling to increase and optimize customer experiences and revenue.
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As a member of the Data Science Team, you will help with the analysis and solution designs of complex analytical supply chain management problems using a variety of methods from Predictive Analytics, Forecasting, Statistical Analysis and Modeling, Data Science, Simulation, AI and Machine Learning to ensure that the analytical business tasks and processes used within our solutions have been reliably and accurately modeled and productionalized.
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Supply Chain Management and Data Analytics (Predictive Modeling, Reporting, Dashboard creation) Lead data conversations by proposing appropriate metrics for decision making and extract data from data repositories and create useful information for leadership decision making.
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The Data Scientist will work to develop and implement predictive modeling solutions to dramatically improve point-of-quote risk selection, company placement and pricing segmentation to enhance underwriting profitability and premium growth.
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Working knowledge of statistical and predictive modeling concepts and disciplines. Evangelize breakthrough analytics solutions through adoption of big data, cloud-native technologies, machine learning, and data science.
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Areas of expertise include segmentation, forecasting, econometrics modeling, predictive modeling, graph theory, marketing effectiveness measurement and optimizations, customer behaviors, site analytics and business growth initiatives.
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This leadership role would collaborate with the Sr. Director Risk Management to oversee the development and implementation of data-driven risk management strategies, predictive modeling techniques, and analytics solutions to support informed decision-making and enhance risk management practices.
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You will use data analytics to advise clients on improving their sales, pricing, residual values and go-to-market strategies by leveraging PIN and ALG's proprietary datasets, Business Intelligence platforms, and predictive analytics tools.
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Demonstrated expertise in predictive modeling, data mining and data analysisDemonstrated expertise utilizing statistical techniques to identify key insights that help solve business problemsPreferred Qualifications:PhD in a quantitative field (Computer Science, Math, Statistics, etc.
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data predictive modeling jobs in Atlanta, AR, Canada
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