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The Team: S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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4) 13+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms.
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As a Data Scientist Lead - VP, you will be hands-on in analyzing large-scale data to create analytical, statistical, and data science models to uncover underlying patterns and drivers to business questions in employee relations, conduct, security, compliance, customer complaints, etc.
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5+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency and hands-on experience in blockchain technology (preferably Ethereum) and/or machine learning. We are seeking highly motivated postdoctoral researchers in biomedical informatics and data science to work on projects focused on the development of biomedical blockchain, clinical predictive models, and blockchain-based privacy-preserving learning.
ExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Expertise in machine learning, AI, and advanced analytics, with hands-on experience in Python, R, SQL, or other data analysis programming languages. This candidate will be a strategic thinker with robust business acumen and hands-on technical prowess who deeply cares about the success and health of their team.
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The successful candidate will also be involved in creating course content and materials with a focus on hands-on experiential and project-based learning. Candidates should demonstrate an expert grasp of knowledge in one or more of the following areas: data science, cybersecurity, machine learning, artificial intelligence, data structures and algorithms, software engineering, operating systems, computer networks, and databases, either through a record of teaching excellence, or through industrial experience.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Strong proficiency in machine learning techniques and algorithms, with hands-on experience in NLP, computer vision, OCR, and predictive modeling. As the VP of Data Science, you will lead and mentor a team of data scientists and machine learning engineers to deliver innovative and scalable solutions that meet the needs of our customers.
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The role will require the ability to flex between technical engineering of the platform and hands on working knowledge creating data science applications as a user of the platform.
$242,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expert user of Big Data technologies/platforms, statistical platforms and data visualization tools, advanced SQL skills, hands-on experience with machine learning, predictive modeling and statistical analysis techniques.
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Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence technologies, and evaluate their potential impact on our business and industry.
$315,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Apply hands-on data science techniques, including advanced analytics, machine learning, statistics, etc. Hands-on experience with production-grade machine learning solutions and/or software development.
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More than 10 years of hands-on Experience with Big Data frameworksPractical experience with Machine Learning and Deep Learning, GenAI techniquesExperience developing data products, technologies and platformsExperience with Public Cloud technologies such as AWS or Google CloudExcellent communication skills: Ability to translate technical and analytical metrics into simple content and present to business partners as well as senior leadership.
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