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The Data Scientist II uses high-level software tools (e.g., R, SQL, Netezza, Git, Python, SAS, Stata) to clean, build, sample, and prepare data for analysis, build analytics models, and conduct econometric/statistical analysis.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning. Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month 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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Rhizome is seeking a Software Engineer who can scale our Data Engineering capacity and contribute to Machine Learning development at the enterprise scale. Successful candidates will also have practical experience building large scale ETL pipelines on AWS or GCP for data engineering, feature extraction, statistical analysis, and correlations.
$200ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Scientist you should be comfortable discussing statistical and machine learning methodology and have significant experience with Machine Learning systems, working with the details of algorithms, not just the tools' application.
ExpandApply NowActive JobUpdated 7 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 Yesterday - UpvoteDownvoteShare Job
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Statistical/data science methods most commonly used in retail analyses including: forecasting, AB testing, hypothesis testing, machine learning and prediction algorithms; Access, query, aggregate, manipulate, consolidate, and summarize omni-channel customer and visitor data from multiple large-scale data sources using data science tools (SQL,R, Python, SAS, Microsoft Power BI, Azure, Adobe, Databricks.
$141,800 - $146,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
$250ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis. Employ machine learning and statistical modeling to create and enhance data driven products.
$167,780 - $281,870 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Advancing BigHat therapeutic programs through ownership of the entire data science life cycle from experimental design through data analysis and modeling, including implementation of novel antibody design strategies, development of robust data pipelines for assays of antibody function and developability, and data-driven improvements to our statistical and ML models.
$250ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with advanced statistical and machine learning techniques such as clustering, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms is a plus.
$250Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience in the usage of machine learning/AI tools in life science area(s) and handling life science datasets is preferred. PhD in Statistical and Data sciences, Computer Science, Pharmaceutical Sciences, Engineering, or related fields with equivalent professional degrees.
Starting at $250ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Has advanced understanding, and can apply knowledge of, complex mathematical techniques (but not limited to): statistical outlier methods, logistic regression, natural language processing (NLP), and various machine learning methods (e.g., random forest, XGBoost, etc.
$116,280 - $150,480 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
machine statistical jobs in South San Francisco, CA
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