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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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Expertise in machine learning/generative artificial intelligence is ideal. The Biostatistician works collaboratively with a variety of teams and is responsible for gaining and utilizing knowledge of biostatistical methodology and statistical programming to advise and implement strategies across all stages of clinical research data management and analysis.
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As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Minimum of 7 years of experience in ML development and deploying ML solutions in cloud-based production environments for a Senior MLS IMinimum of 9-12 years of experience in ML development and deploying ML solutions in cloud-based production environments for a Senior MLS IIMachine learning: Strong mathematical foundation and understanding of the concepts underlying classic machine learning, deep learning, NLP, statistical modeling, and data analysis.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Machine learning: Strong mathematical foundation and understanding of the concepts underlying classic machine learning, deep learning, NLP, statistical modeling, and data analysis.
$165,000 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience and understanding of machine learning and statistical models and methods. Every day we work to ensure that we maintain these competitive advantages and our position as a global leader in providing turnkey, battery energy storage solutions for utility-scale, commercial and industrial, and microgrid applications.
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). 7 years of experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Duties include requirements gathering, data management, pipeline building, shared tool development, custom analysis with data modeling and machine learning, and contributions to manuscripts and grant applications, all under the supervision of senior level computational biologists.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Strong proficiency in machine learning, statistical analysis, and data visualization. Problem Solving: Lead efforts to tackle challenging data science and machine learning problems, from predictive modeling to natural language processing, that have a significant impact on the organization's success.
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Machine learning: Strong mathematical foundation and understanding of the concepts underlying machine learning, deep learning, NLP, statistical modeling, and data analysis.
$110,500 - $180,500 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Growth Potential: Developing a strong foundation in data analytics paves the way for career growth into advanced roles such as data scientist, machine learning engineer, or data engineer.
Part-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Conduct quantitative research and modeling tasks related to industry trends, energy markets, and commercial activities, utilizing tools such as artificial intelligence and machine learning.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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5+ years experience as a data scientist or in another predictive modeling job with specialization in machine learning, statistical modeling and optimization. As a Data Scientist, you will be expected to create innovative solutions to solve business problems by using machine learning, statistical modeling and optimization techniques and turning them into real world solutions for decision making.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Practical Skills: Acquire hands-on experience and practical skills in data analysis, data visualization, SQL, Python, and statistical analysis, equipping you to manage real-world data challenges effectively.
Part-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Build Machine Learning and statistical models to solve specific business problems. Apply statistical and machine learning knowledge to specific business problems and data.
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machine learning statistical jobs in Portland, OR
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