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Masters degree in Biostatistics, Statistics, Public Health, Data Science, or related field and Minimum three (3) years experience in data analytics or a directly related field. Minimum one (1) year statistical modeling experience using SAS, R, or another advanced statistical package.
$96,800 - $125,290 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Computational biologist: Candidates should have expertise in computational biology, statistical modeling, machine learning, and artificial intelligence method development with a strong track-record of research in using data-driven approaches to study the molecular and physiological basis of cancer, including identification of biomarkers that drive cancer development and progression, as well as innovative approaches for drug discovery and novel therapeutics development.
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Strong data analysis and modeling skills using Python, SQL, VBA or R; a programming background preferred. Masters is preferred in a highly analytical or technical field: Computer Science, Engineering, Math, Statistics, Physics, etc.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Proven advanced expertise in quantitative analysis, financial modeling, and data visualization tools (e.g., Excel, SQL, Python, Tableau). Requirements:Bachelor's degree in Finance, Economics, Statistics, or a related field; Master's degree preferred.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Conduct research in machine learning, deep learning, and statistical modeling to design and implement new algorithms and techniques for multi-modal, generative AI, and LLM applications. Masters or Pursing Ph. D. in computer science, electrical engineering, statistics, or a related field, with a focus on machine learning, deep learning, or AI in general.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvote
Part-Time Bilingual Chinese / English Academic Specialist TON: High Level Mathematics And Statistics
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AP and lower college level, for our high school and college tutoring programs: AP Statistics, Statistical Concepts, Statistics, Probability and Mathematical Modeling, Statistics and Data Analysis, Data Science, Business Statistics.
Part-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience working with advanced statistics, machine learning, and deep learning including different architectures, embeddings, loss functions, and optimization strategies. Work experience in designing and managing data pipelines with knowledge about data modeling, ETL processes, and big data technologies (e.g., Spark) to support AI & ML on a public cloud platform, preferably MS Azure.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Strong technical proficiency in data modeling, SQL, ETL tools, data visualization tools, and advanced analytics techniques (e.g., machine learning, predictive modeling). Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modeling and forecasting.
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Proven understanding of statistics, structured and unstructured data analysis, predictive modeling techniques and data visualization as well as a good command of emerging methodologies like Artificial Intelligence.
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Bachelor’s or higher degree in Computer Science, Mathematics, Physics, Quantitative Finance, Engineering, Statistics or equivalent field, with significant coursework or equivalent experience in programming, modeling, simulation and statistical techniques.
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1 year of good knowledge of statistical concepts using SAS experience - 1 year of Experience in building regression models in academic projects using SAS - Understanding and application of various machine learning algorithms for predictive modeling, including linear regression, logistic regression, decision trees, random forests, and gradient boosting.
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Strong knowledge/experience with derivatives (futures, options) based strategies/modeling. BS/MS in computational science, Mathematics, Statistics, CS, or related field. Will partner with the Research and Trading teams and senior partner to build fund's trading and execution capabilities for systematic/quantitative investment strategies in futures, ETFs, and OTC Derivatives.
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Opportunity to collaborate with members of the Department of Neurology, Neurosurgery, and Radiology at UCSF as well as Computer Science and Statistics at UC Berkeley, Harvard Medical School, Duke, UVa, University of Pittsburgh, UCLA, Mayo Clinic, Massachusetts Institute of Technology, and other centers.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD 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.
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