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Assemble and manage machine learning and data science Scientific Advisory Boards. The successful candidate will have a track record of accomplishments in data science/machine learning as well as demonstrated high-impact research in academia or industry.
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Knowledge of Deep Learning and Machine Learning techniques, and experience in Machine Learning tools, techniques and programming (including LLM - Large Language Models) is a plus.
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The Associate VP, Data Science uses mathematics, statistics, machine learning, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.
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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
$136,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience as a Data Engineer or Machine Learning Engineer, with a strong focus on identity resolution solutions. Design and develop robust, scalable data processing and machine learning pipelines on GCP to support identity resolution projects.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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The successful candidate will be a creative and highly motivated scientist with demonstrated expertise in the fields of computational biology, machine learning, or related fields.
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Minimum QualificationsPhD plus 5 or more years of experience in a quantitative field (i.e., bioinformatics, computational/systems biology) within industry drug discovery and development settingStrong programming ability in a language such as Python or RExperience analyzing genomics data from clinical trials in an industry settingExperience with the analysis of NGS dataExperience with applying machine learning methods (ML/AI) to biological data.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
$274,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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Understanding of and experience using multiple statistical and machine learning modeling techniques (e.g., generalized linear models, tree-based classification, network analysis, simulation modeling, inferential statistics, natural language processing, other structured and unstructured analytical methods.
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Ability with building custom statistical models, analyzing unstructured data, and/or machine learning is highly desirable. This role sets the vision and strategy for PVH’s approach to transformative e2e planning opportunities, including leading edge advanced cognitive planning & machine learning capabilities.
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CRA has an exciting opportunity for an enthusiastic senior scientist with expertise in maritime operations, data collection/analysis, uncrewed vehicles, sensing, perception, autonomy, simulation, machine learning, and/or computer vision to lead cutting-edge intelligent systems research and development applied to real-world challenges.
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Work cross-functionally with Machine Learning, Protein Sciences and Preclinical Discovery and Development groups to design proteins tailored for specific therapeutic programs. The successful candidate will work with the Machine Learning, Protein Sciences and Preclinical Discovery and Development groups at Generate:Biomedicines to develop, analyze and apply protein design protocols toward specific design objectives, incorporating both existing and new methods and models.
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Apply machine-learning methods (e.g. deep learning, reinforcement learning, and generative adversarial networks) to biological imaging data to evaluate temporal and spatial effects of novel targets.
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machine learning jobs Title: sr data scientist Company: Humana in Somerville, MA
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