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6+ years of work experience in the field of Data Science, building and productionizing machine learning / AI algorithms for classification, regression, clustering, time series forecasting, topic modeling, anomaly detection etc.
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Experience with machine learning, statistical modeling, predictive modeling are imperative; text mining and topic modeling are plus. unsupervised machine learning, clustering, ensemble methods, etc.
$81,000 - $115,866.66 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Artificial intelligence (machine learning, natural language processing, and/or computer. Oracle APEX context, and have tactical knowledge of architectural design, data modeling, Artificial intelligence (machine learning, natural language processing, and/or computer.
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Every Data Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, to elevate Target’s culture, and apply retail domain knowledge.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Drive the adoption of advanced analytics and data science practices across the organization, including predictive modeling and machine learning to provide competitive edge. Collaborate with the VP Data Architecture & Governance to set enterprise-wide analytics standards, policies, and best practices.
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Experience in advanced analytics/statistics, predictive modeling, machine learning, data visualization. Execute solutions to research problems using data analysis, data mining, forecasting, optimization tools, machine learning, and natural language processing techniques and statistics.
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Deep expertise in data analytics, machine learning, and statistical modeling, with proficiency in tools such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI, Looker Studio.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Direct experience in multi-physics modeling and optimization with applications in wearable actuation and sensing research.
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We assist our clients with analytical support in complex commodity risk topics such as hedging, trading and procurement optimization, market risk management, reporting tools and complex contract modeling, including energy, agriculture, metals, and soft commodities.
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Whether you join our Statistics, Optimization, or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithmsthat power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely on.
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Every scientist on Target’s Data Sciences team can expect to do modeling and data science, develop software/product with highly performant code, elevate Target’s culture, and apply retail domain knowledge.
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Knowledge of machine learning, statistical modeling and optimization, some experience working directly or indirectly in Python or R. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health.
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Using a Premium Audit selection model, the team can predict the likelihood of policy misclassification, automatically assign audit methods to save carriers time and money, and use machine learning to continuously improve correlation and prediction accuracy.
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Prior experience with machine learning, predictive modeling, or big data technologies is advantageous. Microsoft Power BI, Power BI, Microsoft Power BI, Tableau, SSIS SSRS, SSRS, Create Ssrs Reports, Python, Data Visualization, Interactive Data Visualization.
$31.66 - $36.66 an hourExpandApply NowActive JobUpdated 7 days ago
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