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Proven experience in machine learning, predictive analytics, and statistical modeling. Apply predictive modeling to enhance the performance of battery cells. You will be responsible for structuring data and developing predictive models to accelerate Anthro's material development.
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In this role, you will lead complex projects that fuse machine learning, predictive analytics, and data analysis techniques to advance our diagnostic technologies. Strong knowledge of statistical analysis, predictive modeling, machine learning algorithms, and data mining techniques.
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Fully leverage data and predictive people analytics to drive insight and support the business. The role will influence teams to translate business needs into a people-first agenda and build trust in every interaction by modeling Carters core values.
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Applied knowledge of statistical data analysis to perform trend and anomaly identification, predictive modeling, and hypothesis testing. The AppleCare Business Insights, Operations, and Systems (ACBIOS) team is seeking an experienced Data Scientist/Machine Learning Engineer who is passionate about using analytics to drive business decisions and impact customer experiences.
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Solid practical experience in building AI/ML models, statistics, predictive modeling, time series forecasting, regression, classification, clustering, outlier analysis, hypothesis validation, etc.
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You will use predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data.
$107,430 - $176,490 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Certifications within predictive modeling and/or machine learning platforms such as Python, SAS, etc. Accounting, Finance, Economics, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Business Administration/Management, Management Information Systems.
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Proven history of designing, developing and deploying analytical solutionsPractical experience solving real world problems and understanding of predictive modeling and algorithms (eg: anomaly detection, NLP, LLM, CVML.
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Leverage customer centric predictive analytics and modeling to drive dynamic and relevant offers. We are a California grown business, headquartered in the heart of one of the greatest agricultural areas of our nation - Stanislaus County.
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Experience with root cause analyses and predictive modeling. Experience in web analytics platforms such as Amplitude, Google Analytics, Adobe Analytics or others a plus.
$90,537 - $168,141 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques. Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
$45 - $55 an hourFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with machine learning algorithms and AI, including the use of frameworks to apply predictive models and advanced analytics within data engineering projects. A minimum of 5 years of experience in analytics engineering or data engineering, with a significant focus and hands on experience on data modeling and warehouse development.
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This involves tackling challenges in NLP, predictive analytics, and data modeling. Ideal candidates should possess a profound understanding of machine learning algorithms, data structures, and modeling techniques, with a zest to architect and refine the core of our AI-driven solutions.
$50,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Defines advanced analytics, M/L and AI project objectives, collaborates with the business for requirement, defines metrics and measures of effectiveness, and expected outcomes; identifies and/or develops innovative and effective approaches and methodologies; applies advanced operations research and data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization; and validates analysis and outcomes.
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predictive analytics modeling jobs in San Jose, CA
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