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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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10 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
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As a Senior Data Scientist, your skillset will create useful and actionable insight for the customer through the development of machine learning, deep learning models, and related algorithms.
$105,353 - $179,101 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field. Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors.
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Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research). Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, LLMs.
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2+ years of education or professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data. Actively engage other teams across the company to identify security scenarios where machine learning/applied statistics can be used, and lead the development of solutions to these problems.
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Your primary focus will be in applying machine learning and data mining techniques, performing statistical analysis, and building high quality analytic systems - deep learning, anomaly detection, natural language processing, recommendation systems, predictive analytics and information retrieval.
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2+ years of experience in machine learning with domain knowledge and experience in the following areas: data-driven statistical modeling, discrimination methods, feature extraction and analysis, supervised learning.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience processing data from various sources and via big data platforms (such as GCP, AWS, etc.) Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or other quantitative field.
$82,000 - $92,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Apply basic knowledge of Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Data mining, Operations Research, or Computer Science.
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Research and investigate academic and industrial data mining, machine learning, and modeling techniques for product improvement. Have good knowledge in at least one of the following areas: Image Processing, Computer Vision, Machine Learning, Natural Language Processing, Reinforcement learning, Deep Learning Architectures (AutoEncoder, CNN, RNN, BERT, etc.
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Our data scientists work closely everyday with project managers, subject matter experts and software engineers to work on challenges in machine intelligence, data mining, and machine learning, and work together with agility to build capabilities that impress our customers.
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