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If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey! New York City (Hybrid On-Site): $181,000 - $181,000 for Data Science PhD InternSan Francisco, California (Hybrid On-site): $191,000 - $191,000 for Data Science PhD Intern.
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A masters degree from an accredited college or university in one of the following areas of study: environmental or chemical engineering, limnology, environmental science, marine science, geology, biology, earth science, chemistry, physics, or health science; or 2.
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Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related fieldAt least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environmentsStrong programming skills in at least one language (Python, SQL, Spark, C.
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To qualify you must have a BA or BS in Science, Public Health, Nutrition, Child Development or related field; and/or Associate degree plus one year related experience; and/or equivalent combination of education and experience.
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The role will require the ability to flex between technical engineering of the platform and hands on working knowledge creating data science applications as a user of the platform.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. We are the data science team whose ML projects are leveraged for all customer facing messaging on Capital One’s homepage and mobile app.
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Broadridge associates helped us envision our Connected Workplace - a work model that allows associates around the globe, dependent upon their role responsibilities, to take advantage of the benefits of both on-site and off-site work to support our clients, one another, and the communities where we live and work.
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Your work in this domain will have a direct impact on our trading success: powering critical trading operations, serving low latency market data or providing crucial market connectivity access to our daily trading operations.
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Required Qualifications Experience with traditional data modeling and comfortable with leveraging multiple data sources Experience with Python and SQL Experience with statistics and or data modeling tools and analysis Working knowledge of Unix/Linux Working knowledge of source control systems, including Git Kofi Group places software engineers and machine learning engineers on a direct-hire basis with VC-backed startups in San Francisco/Silicon Valley, New York, and Austin.
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Requirements: Master’s degree (or foreign equivalent) in Data Science/Engineering, Analytics, Mathematics, Operations Research, Industrial Engineering, or a related field and one (1) year of experience in the job offered or related occupation.
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Basic to advanced experience with core Python data science tools such as Scikit, NLTK, Pandas, Numpy, Pytorch, HuggingFace and/or similar. We are currently looking for a Data Engineer to join one of the group’s specialist divisions.
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Bachelor's degree in Statistics, Mathematics, Data Science, or a related field; advanced degrees preferred. They must have strong experience using a variety of data analysis methods and data science libraries to build and implement new models.
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Hands on expertise in building econometric models, designing complex randomized control trials and quasi experiments such as difference in difference, propensity scoring, geo experiments, matched market testing with brand metrics as one of the outcomes.
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With just one button press, you'll have your clips in the cloud for free, effortlessly syncing across mobile and PC.About the position:We are looking for a Senior Machine Learning Engineer to work on their video stream team to improve the ML models.
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To qualify you must have a Masters degree in a quantitative discipline (Biomedical or Clinical Informatics, Epidemiology, Biostatistics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field) and 3 years of experience in data science.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago
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