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5+ years of experience in qualification and lead scoring Proficiency in programming languages such as Python, R, or SQL. Strong knowledge of machine learning algorithms, statistical techniques, and data visualization tools.
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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.
$80 - $90 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Leveraging Statistical Analysis, Machine Learning and Data Engineering skills. - Strong experience developing statistical models in a trading environment. - Proven success working with large datasets and developing statistical models.
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Demonstrated ability in handling complex biological datasets, including consortium and atlas-type data, and applying advanced statistical and machine learning methods to solve real-world problems.
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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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We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Conduct comprehensive analyses of marketing campaign performance using advanced statistical methods and causal inference techniques.
$212,780 - $253,430 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Staff Risk Analyst will contribute to the performance analysis of SoFi products using empirical measurements, use quantitative and machine learning models to forecast losses and provide insights on the drivers for losses will also collaborate with the Business Unit, Finance, Accounting, Credit & Fraud Risk groups.
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5-7 years of applied experience in machine learning, deep learning methods, statistical data analysis and complex data visualization; experience in life science industry would be a plus. Master's degree or PhD in computer science, artificial intelligence, applied mathematics, statistics, machine learning or related discipline.
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Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modelling, Forecasting, Econometrics or other related fields.
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Hands-on experience in application of advanced analytics and statistical methods on large and disparate datasets preferably in the context of omnichannel marketing, specifically in statistical analysis, modelling, machine Learning, and artificial intelligence.
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You will be an integral part of Data Sciences at PinkDx, building and implementing a machine learning/AI/statistical modeling engine that develops classification models using a comprehensive menu of genomic features generated from next-generation sequencing (NGS) platforms, clinical features, and adjudicated truth labels.
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Deliver robust statistical analyses of machine learning models and algorithms for model performance evaluation, monitoring, and for drawing insights to support product decisions. Have experience building and deploying Machine Learning models from start to finish (i.e., data wrangling/queries, data cleaning, model building & tuning, statistical evaluation of model performance.
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To qualify for the Principal Level: MS + 7 years or PhD + 3 years of experience, highly skilled in multiple technical areas including wafer processing, materials engineering with an emphasis on diamond and/or laser processing, along with advanced statistical analysis applied to high-volume manufacturing.
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Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.
$202,000 - $258,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Expertise in data science techniques and methodologies, including machine learning, statistical analysis, and predictive modeling. Expertise in data science techniques and methodologies, including machine learning, statistical analysis, and predictive modeling.
$170,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago
machine statistical jobs in South San Francisco, CA
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