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As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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As an AI/ML Scientist, you will be part of up to two or three project teams, and your activities may include:Seeking practical AI/ML-based solutions built on technologies including natural language processing and translation, knowledge representation and reasoning with evidence, learning, automated ontology/taxonomy creation, or 3D synthetic data generation and refinement.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Automate data collection and processing algorithms, including the generation of Machine Learning/Deep Learning models for automatic data labeling and anomaly detection. Proficient in data-driven methods, Regression, Neural Networks, Machine Learning and Deep Learning.
$139,100 - $185,400 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Previous experience as a data scientist or machine learning engineer in a similar role. Stay updated with the latest advancements in the field of machine learning, deep learning, and artificial intelligence.
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Cognitiv has been revolutionizing the ad tech space for the last 7 years as the only programmatic buying platform to leverage Deep Learning in real-time. Cognitiv leverages deep learning artificial intelligence to build custom algorithms that more accurately and efficiently predict consumer purchase behavior.
$160,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The ideal candidate should have experience in developing applications that use generative models using deep learning techniques such as GPT-3, GPT-4, and other transformer-based models as well as experience around building guardrails around LLM generated outputs.
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As a Sr. Deep Learning Scientist, you will be part of the Digital Technology and Innovation Center, the central hub for R&D in artificial intelligence and digital innovation of Siemens Healthineers.
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At least three years of hands-on experience as a machine learning engineer or data scientist. Design and implement solutions for internal and external customers that exploit traditional machine learning and novel deep learning for next-generation satellite imagery analytics.
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Experience with causal inference and causal machine learning techniques, and/or advanced machine learning algorithms such as deep learning, NLP, recommender system, network analysis.
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Who You Are: You are a dynamic Computational Scientist who will work with other scientists to apply cutting-edge computation, Machine Learning/Deep Learning approaches to revolutionize our large molecule computational tools by contributing to accelerating and improving the process of design and engineering of novel biologics drug candidates.
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Learning models which leverage deep neural networks, biomedical signal processing algorithms, etc. Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experienced with traditional as well as modern machine learning and statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
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O Advanced knowledge of information security and systems, application controls and emerging technology utilization including but not limited to artificial intelligence, machine learning, deep learning, advanced process automation, cloud and application program interfaces.
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Utilize: Python, PySpark, Statistical Analysis System (SAS), Machine Learning (scikitlearn, SHAP, MLlib), Deep Learning (TensorFlow), MapReduce, Hadoop, Hive, GitHub, Jira. Required: Master’s degree or equivalent in Computer Science, Engineering, Information Technology, Mathematics, Statistics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Data Scientist or related.
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As a Data Scientist at our client, you will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning.
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