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Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)AI/ML models, Natural language process (NLP) and data mining experience Required Experience:Degree within Computer Science, Data Engineering, or a related field.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. As a Data Scientist at Capital One, you’ll be part of a team that’s 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.
$229,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong knowledge of SQL, Python, data-structured languages, and big data. Hands-on experience building statistical, machine learning, and deep learning models. Bachelors degree in computer science, data science, finance or mathematics with a minimum of eight years of experience or a masters degree with a minimum of four years of experience.
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San Francisco, California (Hybrid On-site): $248,700 - $283,800 for Sr Mgr Data Science. San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr Mgr, Data Science.
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New York City (Hybrid On-Site): $161,900 - $184,800 for Data Science PhD Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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Apply hands-on data science techniques, including advanced analytics, machine learning, statistics, etc. Experience with mainstream big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.
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Hands on experience in data engineering, working with big data framework like Spark/Hadoop. 4+ years hands-on data science experience. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
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Experience with big data technologies such as Apache Spark, Hadoop, or similar. Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn.
$220,000 - $295,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The US Card Data Science team builds industry leading machine learning models to empower core underwriting decisions in the acquisitions and management of new and existing credit card customers.
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Team Description The US Card Data Science team builds industry leading machine learning models to empower core underwriting decisions in the acquisitions and management of new and existing credit card customers.
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Hands-on experience using Big Data and statistical analysis tools such as Hadoop/Spark , SQL, and Matlab. We are looking for an Applied Data Scientist for customer-facing projects that combine data science with deep knowledge and understanding of machine learning and big data technologies to create solutions for customers' challenges and needs, defining and developing appropriate technical and business solutions.
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Hands-on development experience working with version control systems (we use Git) and Big Data and Cloud platforms (Hadoop, Spark, Amazon Web Services (AWS), Google Cloud (GCP.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago
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