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Experience leading teams in data analytics and data visualization, including selecting and applying the appropriate analytical techniques for statistical analysis, predictive modeling, simulation, and machine learning.
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Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
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Currently pursuing a bachelor's degree or higher in data science, artificial intelligence, machine learning, deep learning, computer sciences, bioinformatics, mathematics, computational biology, or related field with the expectation that you will complete your current degree by the Spring 2027.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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We are seeking an innovative, self-driven, and team-oriented Machine learning Scientist, with a passion for developing cutting-edge platforms at the intersection of AI/ML, biology, synthetic biology, and single-cell technologies.
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Minimum of five years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds.
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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.
$78,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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This team works at the intersection of synthetic biology (DNA library design and ultra-HTP screening methodologies) and machine learning to establish truly novel biological and biochemical workflows that help enable massive-scale data generation.
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They will perform data cleaning and data pipeline engineering, analyze textual and numerical data, and utilize tools in Azure and AWS cloud environments to deploy generative AI, natural language processing, and machine learning workflows.
$146,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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You will work closely with a team of talented data scientists, data and machine learning engineers, and software developers and play a key role in developing and delivering the next-generation AI/ML solutions to the business.
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SummaryOur team leverages advanced Data Science (DS), augmented intelligence (AI) and machine learning (ML) to help better predict our customers’ health outcomes, advance affordability, quality and accessibility of healthcare.
$202,400 a yearFull-timeWork from homeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This position is a Senior Scientist, Machine Learning reporting to the AD of Machine Learning, in Computational Drug Discovery at Fog. We are seeking highly talented and motivated people to contribute to the development of the Computational Drug Discovery group, a strategic function in Data Science that is part of Fog's platform discovery engine for HeliconTM stapled-peptide drugs.
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Using large-scale cloud and machine learning algorithms, the Data Scientist will construct data preprocessing pipelines, predictive models, optimization algorithms, and decision support systems.
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The ideal candidate will have a strong background in engineering as well as expertise in data science to tackle challenging cross‐functional projects including machine learning, machine learning and first principles hybrid model development, data analysis and visualization.
$87,171 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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For this req - Candidate needs to have engineering background, not a data scientist. Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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No less than a Masters degree in Data Science, Math, Engineering, or related field, and at least 5 years of experience in job offered or similar role in Programming, Data Analytics, Data Science, Machine Learning, Business Intelligence, or System Analytics.
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machine learning data engineering scientist jobs in Boston, MA
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