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Earned graduate degree (Ph. D. or M.Sc. + 2 years relevant industry experience) in a highly quantitative discipline (e.g., machine learning, statistics, computer science, applied mathematics, theoretical physics, physical chemistry, econometrics, bioinformatics.
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2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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Requires a Master’s degree in Computer Science, Mathematics, Statistics, Engineering or related field, plus two (2) years of data science or related experience in data analysis including experience deploying ML (machine learning) models in different deployment architectures, databases, streaming and messaging queues; designing data labeling workflows with cloud-based tools in AWS or GCP; optimizing model performance; and conducting error analysis on baseline ML models.
$159,650 - $175,615 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical knowledge of neuroimaging and brain anatomy, experience with organizing, maintaining, and analyzing large brain imaging datasets, programming expertise with python, Bash and parallel computing, experience with Brain Imaging Data Standards (BIDS) and MRI—based neuroimaging software programs (e.g., FreeSurfer, ITKSna) and statistics/machine learning strongly preferred.
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Keep up to date on the latest development in AI and machine learning, applying innovative techniques to improve algorithm accuracy and efficiency. We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Lead development of game features that integrate machine learning and experimentation into the game server, backend services, and data warehouse. As a Staff Software Engineer on the VALORANT team you will build player-facing game features powered by machine learning services.
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We're on the lookout for an accomplished Staff Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem.
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Technical Leadership: Provide insights and guidance on best practices in machine learning, and contribute to the strategic direction of our technology. This person will implement and develop machine learning models to enhance our platform's capabilities, making key contributions to our product development, and driving data-driven decision-making.
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Essential Functions: Instructor to EOP's Summer/Transfer Bridge, Summer Workshop and Community Learning students may include teaching the following courses: Reading, Summer Bridge (SB) Seminar, Math, Kinesiology, Library Science, Communication Studies, History, Pan-African Studies (PAS), and/or Chicana(o) and Latina(o) Studies to Bridge students.
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Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices. The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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Extensive experience with Python and SQL for data science, machine learning, and software development e.g. numpy, scipy, pandas, scikit-learn, PyTorch, LightGBM, Flask, FastAPI, Docker, Jupyter.
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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
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Proficient in SQL/Hive/Python or R, experienced in massive data manipulation, machine learning & modeling. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained.
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Improve existing machine learning data products that help media buyers make buying decisions. The data science team focuses on helping drive business outcomes across Calm. The business problem comes first (what are we trying to solve.
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machine learning hands on data science jobs in Los Angeles, Anoka, Minnesota
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