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Familiarity with multiple machine learning or statistical packages in Python, R, MATLAB, or another programming language. Advanced degree in Statistics, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, Operations Research, or a related field.
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InPowered s AI platform enables brands to maximize their content marketing ROI. Powered by Artificial Intelligence and years of machine learning, their Content Intelligence and Content Distribution solutions allow marketers to collect proprietary data and use it to drive real ROI positively changing brand perception, increasing action taken onsite, lead generation and user engagement.
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Broad machine learning experience including statistical modeling, time series analysis/forecasting and experimentation, bonus if in finance and trading domains, especially FX. Experience with cloud-based data processing and machine learning services and tools.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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As a Senior Software Engineer on this team, you will help us build new machine learning models to improve the quality of video playback for our customers, work with our existing predictive models, and refine and define our analytic techniques used for evaluating the performance of new playback and optimization algorithms.
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Solid experience with machine learning, A/B testing, and predictive modeling, alongside a strong understanding of statistical concepts and data modeling. Data modeling and machine learning skills highly regarded, with bonus points for experience in content/UGC analysis.
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Quantitative Analysis: Conduct advanced quantitative analysis to derive insights from large and complex datasets, using statistical techniques, mathematical models, and machine learning algorithms.
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Experience with machine learning systems like tensorflow, pytorch or Jax. The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence.
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Job Description SummaryThe Sr Staff AI Scientist will work in and lead teams as technical domain expert addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment.
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Hands-on experience in analytics techniques such as outlier detection, clustering, classification, regression, and hypothesis testingHave an excellent academic background with strong Hands-on Knowledge of Python OR ScalaHands-on Software Development Skills (Scala-Preferred)Understands the core concepts of Machine Learning and the Maths behind it, good knowledge of existing Client tools and technologies.
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Apply statistical or machine learning knowledge to specific production dataGrow into a role of subject matter expertise in PV power plants. Works with other Performance Team members in developing processes to quicken and enhance day to day activities.
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In this role, you will be the principal designer and developer of the artificial intelligence components of the recommendation engine, using any appropriate techniques out of the machine learning, artificial intelligence, and statistical modelling repertoire.
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Collaborating intimately with teams in Product, Business, Design, Engineering, and the larger Data team, our Data Scientists employ methods such as experimentation, statistical analysis, machine learning, causal analysis, and data storytelling.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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PhD plus 2 years (or Master plus 4 years) industry working experience in developing machine learning / statistical models to solve real world problems (e.g. classification, NLP, regression, panel models, time series, etc.
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Develop and execute validation testing for statistical, econometric, and machine learning models used in loss forecasting, allowance and stress testing for retail portfolios. Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, machine learning methods.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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5+ years of experience as a Machine Learning engineer building production-level pre/post-processing data pipelines for ML/DL modelExperience in statistical analysis & visualization on datasets using SQL, Pandas or R.
$160,000 - $280,000 a yearExpandApply NowActive JobUpdated 11 days ago
machine learning statistical jobs in San Francisco, CA
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