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Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Collaborate with cross-functional teams including data scientists and product managers to align machine learning solutions with business objectives.
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What You'll Do Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company) Collaborate with client data science teams to enhance, scale, and operationalize existing models.
$120,000 - $186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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In Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required). Research experience in statistics and computational genomics, and familiarity with next-generation sequencing data and analysis tools (preferred.
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Technical Acumen: Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight: Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Coursework in Machine Learning, Image Processing, Applied Mathematics, and/or Data Science, e.g., Reinforcement Learning, Machine Learning (ML), Deep Learning, Image Processing, etc.
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Master’s degree in computer science, statistics, or related field with a focus on machine learning, artificial intelligence, or data science OR In lieu of Master’s, relevant bachelor's degree plus 5 additional years of related experience will be considered.
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Job Qualifications:Master’s Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience. Job Responsibilities: Team Leadership and Development:Lead, mentor, and develop a team of data scientists and machine learning engineers.
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Develop and apply bioinformatics, computational biology, and machine learning tools to generate insights and hypotheses from high-dimensional molecular datasets, with an initial focus on proteomic data.
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Stay up to date with the latest advancements in data science, machine learning, and autonomous driving technologies. Master’s degree in Computer Science, Data Science, Statistics, Machine Learning, or a related field.
$206,000 - $258,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Department: DS/ML (Data Science/Machine Learning) Advancing BigHat therapeutic programs through ownership of the entire data science life cycle from experimental design through data analysis and modeling, including implementation of novel antibody design strategies, development of robust data pipelines for assays of antibody function and developability, and data-driven improvements to our statistical and ML models.
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The successful candidate will be proficient in data visualization, statistical modeling, machine learning, and deep learning techniques. HiTIF is expanding its data science capabilities to support the growing need for advanced single-cell analysis of images generated by NCI light microscopy cores.
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Experience in Data science, machine learning, or optimization models. These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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Strong background in Data Science, Machine Learning, NLP, processing of large data sets. This role will work closely with the Business and IT teams to produce analysis, machine learning solutions, and scalable data analytics.
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machine learning jobs Title: data science in Anoka, Minnesota
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