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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. At least 1 year of experience in open source programming languages for large scale data analysis.
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You're comfortable with open-source languages and are passionate about developing further. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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You’re comfortable with open-source and are passionate about developing further. New York City (Hybrid On-Site): $161,900 - $184,800 for Data Science PhD Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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At least 3 years’ experience in open source programming languages for large scale data analysis. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at.
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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for a hands-on full-stack engineer and application developer to grow into the next step in their career journey and apply her or his domain expertise for leading the integration of front-end applications and APIs for deep learning, GenAI, and LLM back-end models to drive business value for multiple stakeholders.
$150,000 - $225,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Open-Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services. 5+ years working and Hands on experience on AWS ECS, Lambda, Fargate.
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3+ years working and Hands on experience on AWS ECS, Lambda, Fargate. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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