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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience across a breadth of data science, AI and machine learning disciplines including, but not limited to: forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning and GPU-based algorithms (CNN, LSTM), computer vision.
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The Data Scientist - Machine Learning at The Friedkin Group (TFG) will design, develop, implement, maintain, and improve advanced data science initiatives across business units, directly aligning with strategic objectives.
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As our first Data Science hire focusing on Machine Learning at Circle, you’ll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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The Lead Machine Learning Engineer will lead the design, recommendation & implementation of platform, infrastructure and best MLOps/LLMOps practices to support all data science teams and projects in US Segment Advanced Analytics.
$120,610 - $223,990 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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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.
$180,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Apply computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery. Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites.
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A thought leader and evangelist to drive knowledge and application of machine learning and data science at all levels of T-Mobile. 4+ years’ experience using Python, R, SAS, and/or other predictive modeling and machine learning tools in big data environments.
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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Machine Learning | AI | Python | SQL | Deep Learning | Data Modeling | RAG | NLP | LLM | Start Up | Recommendation Systems. As a Machine Learning Engineer ( Data Extraction ), you can expect to earn up to $210,000 (depending on experience), highly competitive benefits and equity.
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Lead the Data Science agenda fostering a data-driven, innovative, agile culture that fuels growth for T-Mobile's businesses. Maintain up-to-date knowledge advances in data and data science disciplines and understand applications to T-Mobile’s business and strategy.
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deployment machine learning data science jobs Company: Eliassen Group
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