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Hands-on experience with deploying models to production and building ML pipelines (Docker, CI/CD/CT) Experience with Time Series and NLP problems Solid Knowledge of Supervised and Unsupervised Machine Learning Models Knowledge of Feature Engineering, Data Wrangling/Cleaning Knowledge of Jupyter notebooks and big data environments/training (Spark, Hadoop, etc.
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New York City (Hybrid On-Site): $161,900 - $184,800 for Data Science PhD San Francisco, California (Hybrid On-site): $171,500 - $195,800 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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In this role, you will utilize our robust data and machine learning infrastructure to develop inference and optimization for Merchant experience and build new merchant’s products, such as deep learning based logistic service for restaurants and non-restaurants, AI solutions to make our catering product successful, menu item tax categorization, expanding our merchant selection on DoorDash.
$302,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Offering a fully integrated platform of real estate services and innovative solutions to owners, investors, lenders and occupiers, Lincoln supports the entire real estate lifecycle across asset types, including office, life science, retail, industrial, data center, production studio, healthcare, government, universities, and mixed-used properties, throughout the United States, United Kingdom, and Europe.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Lincoln Property Company (“Lincoln”) is one of the largest private real estate firms in the United States. Lincoln Property Company does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by Lincoln Property Company to provide candidates for a specified opening.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Data Scientist: Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAIBachelor's degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. Emerging ML is the data science and machine learning team inside Capital One’s Applied Research organization.
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Own full cycle recruiting for senior-level searches (including executive leadership hiring) across a variety of business areas including product management, software engineering, data science, product design/research, marketing, communications, creative production, legal, editorial content, human resources, finance and operations.
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Primary Skills: Machine Learning, Data Science, Kafka. Strong understanding of Machine Learning and Data Science principles. Skilled in the production deployment of machine learning models and applications.
$95 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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For us, a data scientist is a fusion of core production skills with analytic and business skills. Experience combining user research and data science methodologies across multiple products and teams.
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Help build, scale, and maintain production services and infrastructure that deliver critical data, inferences, and experiences to students and teachers on quizlet.com. including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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Strong relevant professional experience with a Master's level degree (Ph. D. preferred) in a quantitative field (e.g. data science, mathematics, economics, computer science, statistics, econometrics, engineering, physics, neuroscience, operations research, etc.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Through feature engineering and wrangling, you will create automated data extracts and production ready machine learning feeds that provide scaled insights for both the Data Science team and their users.
$174,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
$247,600 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago
production data science jobs in San Francisco, CA, Us
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