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2+ years of experience in developing analytics solutions in a cloud environment using modern data science tools such as AWS, Azure, or GCP. Demonstrable experience with big data analytics, preferably in cloud technologies such as Snowflake, AWS, GCP, and Azure.
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Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. 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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San Francisco, California (Hybrid On-site): $248,700 - $283,800 for Sr Mgr Data Science. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr Mgr, Data Science. Emerging ML is the data science and machine learning team inside Capital One's Applied Research organization.
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San Francisco, California (Hybrid On-site): $213,400 - $243,500 for Manager, Data Science. New York City, New York (Hybrid On-Site): $201,400 - $229,900 for Manager, Data Science.
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PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics. Center 2 (19050), United States of America, McLean, VirginiaSenior Manager, Data Science - Emerging ML.
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Experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks. Experience with machine learning technology, such as: big data stack, Java, Python, R, Scala and visualization techniques, including Dash, Tableau and Angular.
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At least 5 years’ experience in Python, Scala, or R for large scale data analysis. Write software (Python, Scala, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.
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The Director will also be responsible for using the spectrum of data science fields of study, including descriptive, diagnostic, and predictive analytics, to address the biggest challenges facing each market.
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Extensive expertise and experience with , both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks.
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Design, build, and maintain data pipelines using modern Big Data technologies such as AWS Redshift, S3, Glue, Athena, EMR, Spark, Hive, etc. Experience with big data technologies such as: Hadoop, Hive, Spark, EMR.
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3+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) Working knowledge with modern cloud-based data storage and compute environments.
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Expertise in both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks. Expertise in machine learning technology, such as: big data stack, Java, Python, R, Scala and visualization techniques, including Dash, Tableau and Angular.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Mgr, Data ScienceSan Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Mgr, Data Science. Center 2 (19050), United States of America, McLean, VirginiaManager, Data Science - Emerging ML.
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Currently has, or is in the process of obtaining a Bachelors Degree plus 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Masters Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 2 years of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date.
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You will be impacting every aspect of the business and it will require various techniques, from diving deep into data with SQL and Big Data tools, all the way to deploying modern machine learning models.
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modern big data jobs Title: data science
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