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Experienced with traditional as well as modern machine learning/statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regressionPREFERRED QUALIFICATIONS- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc.
$143,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will combine broad skills in survey/experimental design, machine learning, statistical analysis, and programming. Education PhD or Master’s degree (PhD preferred) in Psychology, Behavioral Science/Economics, Cognitive Science, Computer Science, Machine Learning, Statistics, Social Science, Human-Computer Interaction or related field.
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In-depth expertise in statistical analysis, machine learning algorithms, and predictive modeling techniques. Publications or research experience in the field of data science, machine learning, or related areas.
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3+ years of industry experience in signal processing, statistical data analysis, pattern recognition, machine learning and algorithm development. Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various neurological indications.
$175,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Research and develop novel statistical approaches and machine learning/deep learning models that add value to manufacturing processes and product performance improvement. Hands-on experience with data engineering/processing frameworks (databricks, spark, dataflow, etc.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Basic knowledge of software engineering principles and strong knowledge of at least one programming language, such as Python, R, and/or SQL); basic statistical ability. About us: Stanford RegLab is a social impact lab that partners with government and nonprofits to use machine learning and data science to modernize the public sector.
$74,000 - $97,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Bachelors degree required in Business (with quantitative emphasis), Statistics, Data Mining, Machine Learning, Analytics, Econometrics, Mathematics, Operations Research, Industrial Engineering, or related field.
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Identify and advocate for technical options related to machine learning, data mining, and other statistical approaches. Work with program managers and leadership to determine business problems and use statistical analysis, simulations, predictive modeling, or other methods to analyze and develop practical solutions.
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Profound expertise in deep learning (DL) and statistical machine learning (ML). Thorough understanding of predictive modeling and various machine learning algorithms for supervised and unsupervised learning.
$197,890 - $329,890 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with cloud platforms, such as DataBricks or Cloudera, and experience in deploying and managing data science models in a cloud environment. Experience in working with data engineering teams to build and optimize data pipelines for data processing and analysis.
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Work with large-scale datasets to solve complex business and technical problems in gaming through analytics, forecasting, machine learning, recommender system, generative AI, experimentation, causal inference, and econometrics.
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Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers Job Requirements: 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience.
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Experience with a wide range of data analysis, machine learning and statistical modeling algorithms/techniques. More than 10 years of EV’s in the market, analyze data, large database they expect the data scientist to handle the data, cleaning, statistical work to understand use and behavior of the EV owners.
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Strong expertise in NLP, predictive modeling, statistical analysis, and machine learning algorithms, demonstrated by a portfolio of innovative AI solutions. By leveraging state-of-the-art AI, machine learning, and natural language processing technologies, their goal is to enhance team interactions and boost productivity to unprecedented levels.
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