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Hands-on modeling experience and deep understanding of both conventional quantitative analytics such as GLM, GLMM, Bayesian statistics, Actuarial methods and tree-based machine learning techniques like GBM, Random Forest, NLP, Topics Model and Deep Learnings.
InternExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Publications at top-tier peer-reviewed conferences or journals in one of those areas (natural language processing/understanding, deep learning, machine learning, or speech processing.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with data analysis, data modeling, data engineering, and experience working with tools and databases such as SQL and Oracle.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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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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Perform data exploration using a combination of statistical programming languages (including, but not limited R, Python, SQL, SAS) and deploy predictive analytics and machine learning techniques to improve risk prediction, improve reporting, trend and financial forecasting in a manner that is actuarially sound, and enable real-time results and operational efficiencies, and.
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The primary focus will be to employ traditional and innovative methods using structured and unstructured data from different sources and apply AI, machine learning, and statistical techniques to develop, assess, and implement models.
$101,500 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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Familiarity with AI algorithms, predictive modeling and machine learning techniques and their application to insurance problem solving. Use AI algorithms and predictive modeling to create dynamic optimization models that can quickly adapt to changing market conditions and customer needs.
$80,500 - $137,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Leads and applies data science techniques, such as machine learning, statistical modeling and artificial intelligence working closely with senior team members. Minimum 7 years experience Statistical Analysis, Machine Learning, Computer Science, Programming, Data Storytelling.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Stay at the forefront of latest trends in machine learning, statistical test design, media mix modeling, artificial intelligence, and other data science fields. Experience with media mix modeling, A/B and Multivariate test design and implementation.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Apply a range of mathematical, statistical, predictive modeling or machine-learning techniques in consultation with experts if appropriate, and with sensitivity to the limitations of the techniques.
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2+ years of experience in machine learning with domain knowledge and experience in the following areas: data-driven statistical modeling, discrimination methods, feature extraction and analysis, supervised learning.
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Statistics, machine learning, deep learning, and the underlying math. Knowledge of data science and machine learning concepts. The team operates in a flexible manner, learning and testing agile workflows.
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Prefer Predictive Modeling & Machine Learning experience. The incumbent will partner with multiple customers to provide more complex resolutions to analytics/data problems (i.e. linear models, pattern analysis, directional modeling, etc.
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modeling machine learning jobs in Elizabeth, NJ
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