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As an economist on our team, you will work at the intersection of economic theory, statistical inference, and machine learning to design and implement in production new methods and pricing strategies to deliver game changing value for our customers.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
$127,300 - $247,600 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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.
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As our first full time Staff Data Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning practice.
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Requirements :- Advanced or basic degree (recent PhD from top university / MS with 5+ years experience) in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on Machine Learning , AI , NLP , deep learning, and/or / data-driven statistical analysis & modelling Strong, proven programming skills (5+ years of programming experience) in Python, C/C.
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Advanced or basic degree (recent PhD from top university / MS with 5+ years experience) in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on Machine Learning , AI , NLP , deep learning, and/or / data-driven statistical analysis & modelling.
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At Freenome, we are seeking a Senior Machine Learning Research Engineer to help grow the Freenome Computational Science team. Expertise, demonstrated by research publications or industry experience, in applied machine learning, data mining, pattern recognition, or AI.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Prior experience in delivering impact using statistical analysis, predictive modeling, and machine learning. Build predictive models using statistical and machine learning techniques used for classification and regression.
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Develop and deploy advanced analytical methods to improve our fraud detection and prevention capabilities (e.g., statistical inference, machine learning or graph analysis) A background in machine learning (i.e., constructing ML models, feature engineering, hyperparameter tuning) is a plus.
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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.
$105.63ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficiency in Python, R, SQL, and data visualization tools like Power BI, with the ability to code complex SQL queries and create insightful dashboards. Advanced degree (Master's or Ph. D.) in Data Science, Statistics, Applied Mathematics, Computer Science, or related field preferred.
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6 years of industry data science experience, ideally in the health space working with commercial data Extensive experience in data mining, machine learning, statistical analysis techniques and ML algorithms for classification, regression, clustering, anomaly detection.
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Machine Learning and Deep Learning experience. Experience using Machine Learning to build data-driven product features is a strong bonus. Hands-on experience with statistical tools (e.g. SAS, R, Python.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Understanding of data science/machine learning models and algorithms, not limited to: deep learning (CNN, RNN etc), decision trees (e.g. xgboost, random forest), unsupervised techniques (e.g. clustering, anomaly detection), natural language processing and statistical methods.
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Machine Learning Engineer Lead - Identity page is loaded. Machine Learning Engineer Lead - Identity. Build a machine learning / AI infrastructure to enable data science work in your team based on large volumes of data.
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machine learning statistical jobs in San Francisco, CA
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