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CUDA, Julia, R and/or SQL), machine learning / deep learning methods including neural network design, computer vision / image analysis, and statistical analysis. The candidate should also have experience with multiple modern techniques and algorithms in machine learning and statistical computing such as regression, clustering/segmentation, time-series analysis, recommender systems, predictive analytics, Bayesian modeling, data fusion, supervised/unsupervised learning, decision trees, A/B testing, natural language processing.
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Applies advanced statistical analysis methods to interpret complex genomic data, primarily next-generation sequencing data. Proficiency in statistical and bioinformatics tools and programming languages (e.g., Hail, R, Python.
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Senior Statistician works independently and collaboratively with the team to provide analytical data support utilizing statistical software. In this role, Senior Statistician possesses a statistical education background and in-depth knowledge of health care systems, advanced computer and software skills, and ability to accomplish all delegated tasks achieving Integrity Management Services business goals producing high quality deliverables to our clients.
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The Senior Advanced Design & Simulation Engineer will provide complex engineering support to the business group application engineering and operations functions specific to product design, design verification via computational analysis, material model generation, material testing support and statistical data analysis, training seminars, and customer support as an engineering design subject matter expert.
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PhD in Statistical Genetics, Biostatistics, Biomedical Informatics, Computer Science, Bioinformatics, or closely related field, with expertise in method development and practical application. Expertise in advanced statistical models, interpretable machine learning, or deep learning.
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Ability to translate business questions into analytical problems and recommend solutions using statistical modelling, text mining, machine learning, artificial intelligence techniques. Tool Expertise - Python, R, SQL, SAS Good To Have Experience in working on Big data, Cloud, Hadoop, Spark, End to end deployment.
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Leverage your skills in statistical analysis, market fundamentals, ISO protocols (ERCOT), and regulatory issues to drive the insights into historical and forward pricing curves for power, ancillary services, renewable energy credits, and all other cost components of retail electricity products.
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Statistical Software: SAS, R, Python. Perform advanced statistical analyses to evaluate healthcare quality measures and identify trends, patterns, and variations. Bachelor's or Master's degree in Health Informatics, Statistics, Public Health, Epidemiology, or a related field.
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Develop and maintain advanced statistical and machine learning models to forecast energy prices, demand, and supply dynamics in the PJM and MISO markets. Leveraging your expertise in statistical analysis, machine learning, and predictive analytics, you will analyze market trends, evaluate project feasibility, and optimize our portfolio for maximum impact and profitability.
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Utilize statistical models (CDPS, Client Risk Adjustment, 3M) to identify trends in utilization and performance over time. Perform statistical analyses to develop recommendations to business owners that improve workflows, processes, and compliance.
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Support the utilization and application of statistical and predictive modeling techniques in a collaborative environment to build, maintain, and improve decision support systems. Problem solving, strong analytical and statistical skills and ability to convey complex technical analysis to a broader audience including senior leadership.
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May provide direction to the different accounting functional areas (invoice processing, billing, cash receipts, work order processing, credit analysis, receivable collections, month-end close, journal entries, statistical data, and payroll.
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Statistical Background : Proficiency in statistics and machine learning techniques, particularly when applied to meteorological data. including PJM, ERCOT, NYISO, ISONE, CAISO, MISO, and SPP) and will work very closely with existing US-based Research teams in Carbon and Natural Gas, as well as our Oslo-based Power Research team.
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Compilation, examination, analysis and interpretation of statistical and other data, two (2) of which shall have consisted of experience involving cultural resource management, historic preservation, Hawaiian or pacific island studies and history.
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To support the continued growth of our large-scale, fully-automated, quantitative trading across global financial markets, Quantlab is seeking a Quantitative Research Scientist to add to our team in Houston, TX. Candidates will apply rigorous statistical methods on a wide range of datasets leveraging Quantlab's world-class research and trading infrastructure in a challenging, informal, and intellectually-stimulating environment.
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statistical job Company: Remote Career Jobs in Houston, TX
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