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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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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
$163,300 - $244,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training. Experience coding in Python, R, Matlab, Java or other modern programming language.
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Familiarity with programming languages is a plus (R, Python, dbt, SQL)Knowledge of statistical techniques (multivariate regression, optimization, clustering, forecasting)Experience creating data visualizations in support of storytellingLocation: Ideal is a candidate with proximity to our NYC or LA office.
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Is required (test required)Algorithmic trading experience is required (essential), whether personal or professional experience Desirable Skills: Prior experience as a Quantitative Trader/ ResearcherExperience with Machine Learning, Natural Language Processing or Deep LearningKnowledge of the DeFi and Web 3.0 ecosystem.
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On BitMEX, users can trade cryptocurrency derivatives on a professional trading platform that provides low latency, deep liquidity and constant availability. Familiarity with Kubernetes / Ansible / Chef, and with one or more programming language: Python, Golang, C, NodeJS.
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Strong quantitative skills, prior experience with coding and data visualization tools such as Python, Alteryx, SQL & Tableau. Monitor stress, performance, liquidity, and counterparty risk metrics against the thresholds and perform deep-dive risk analysis on the outliers.
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Experience using data processing tools and technologies such as Python, Spark, Talend, Informatica, SSIS or DBT a plus. Deep SQL expertise, data modeling, dimensional modeling and experience with data governance.
$116,105.6 - $208,300 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Forms part of the Analytics Open Hub Global Data and Analytics team to deliver the strategy, execute plans, providing specific and deep expertise in data design and modelling, data warehousing, big data platforms and data engineering.
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Proficiency with PySpark, Python, SQL, Excel, and data visualization tools (Tableau, Power BI, etc.) Excellent understanding of machine/deep learning techniques and algorithms (XGBoost, random forests, logistic regression, SVM, KNN, k-means clustering, PCA, neural network, deep reinforcement learning, etc.
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3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala.
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With PySpark, Python, SQL, Excel, and data visualization tools (Tableau, Power BI, etc.) of machine/deep learning techniques and algorithms (XGBoost, random forests, logistic regression, SVM, KNN, k-means clustering, PCA, neural network, deep reinforcement learning, etc.
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Expert ability in operations research and statistical methods and techniques, including deployment analysis and resource allocation modeling, systems/operations analysis, simulation and optimization (linear and nonlinear, predictive analytics (e.g. deep learning, econometrics, time series/forecasting, vehicle routing, and related skills.
$78,721 - $150,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. You must be proficient in Python image processing (e.g., Pillow, OpenCV, scikit-image, and ITK.
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