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Capital One Financial Corporation

Senior Associate, Data Science

Capital One Financial Corporation - San Francisco, CA

201 Third Street (61049), United States of America, San Francisco, CaliforniaAt Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.                                               Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.Senior Associate, Data ScienceThe Capital One Technology team is looking for a Data Scientist to support our Program Management efforts with an initial focus on big data analysis within the context of Automation.  This group sits within a predominantly “Horizon 2” focused broader team at Capital One.   This role provides software development, algorithm development, and big data analytics that guide strategic business decisions for our customers, helping them use data effectively. Capital One values complete collaboration with Product Management. As part of your role, you will be relied on for guidance and leadership on our overall program as well as our Product Road Map and prioritization of our associated sprint tasks. This is a team environment.You will work with product owners to understand desired application capabilities and testing scenarios and continuously improve software engineering practices. You should be comfortable working in a near-start-up environment, preferably having done this before. As a self-starter, you should be comfortable working in a selfless team environment and have an appreciation for diversity of thought, action and team complexion.  As a shared-tech team, we regularly work with other lines of business, so you will be expected to develop healthy relationships with other teams.Technically, you have architected scalable systems and processes and can look at existing processes with a critical eye. You have experience with optimization and performance, integrating with APIs for various Big Data cloud services of different subsystems, and analyzing large segments of search data.Responsibilities: -Implement, refine and validate machine learning algorithms for products and applications-Using Big Data tools (Hadoop, Spark, H2O, AWS) to conduct the analysis of billions of customer transaction records.-Writing software to clean and investigate large, messy data sets of numerical and textural data-Integrating with external data sources and APIs to discover interesting trends-Designing data visualizations to communicate complex data simulations to key company stake holders and customers-Designs and develops data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring-Develop new processes/tasks/objects using core workflow principles that are efficient, well structured, maintainable and easy to understand-Set and enforce coding standards-Direct efforts to define technical requirements-Take responsibility for project activities including work estimation, planning, and stakeholder management, while pushing for project quality.-Implement new scientific analysis and methodologies to support big data analytics efforts and stay current with evolving technologies and capabilities.Position Provides Exposure to:-Front End Skills: Java Script (jQuery, dojo)/CSS/HTML, Python Bokeh-Back End Skills: Micro-services, REST, Python, NodeJS, Database (MongoDB, Cassandra, Postrgres,  etc)-DevOps/Platforms: Amazon Web Service (S3, RDS, EC2, Lambda, SQS, SNS, DynamoDB, CloudFormation, etc), Chef, Docker, Ansible-Build/SCM Tools: Maven, Gradle, Git, PyBuilder-DB/Data Platforms: Kafka, Storm, MongoDB, Hadoop, Spring XD/Spring Batch-Data Science Platforms: Machine Learning applications to solve real-world problems-Deployment Frameworks: KubernetesBasic Qualifications:-Bachelor’s Degree plus 2 years of experience in data analytics, or Master’s Degree, or PhD-At least 1 year of experience in open source programming languages for large scale data analysis-At least 1 year of experience with machine learning-At least 1 year of experience with relational databasesPreferred Qualifications:-Master’s Degree or PhD in a “STEM” major (Science, Technology, Engineering, or Math)-At least 1 year of experience working with AWS, Azure, or similar cloud platform-At least 3 years’ experience in Python, Scala, or R-At least 3 years’ experience developing data science solutions leveraging one of more of the following: operations research, natural language processing, machine learning, deep learning, video/image analysis or time-series analysisCapital One will consider sponsoring a new qualified applicant for employment authorization for this position. ,educationRequirements:201 Third Street (61049), United States of America, San Francisco, CaliforniaAt Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.                                               Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.Senior Associate, Data ScienceThe Capital One Technology team is looking for a Data Scientist to support our Program Management efforts with an initial focus on big data analysis within the context of Automation.  This group sits within a predominantly “Horizon 2” focused broader team at Capital One.   This role provides software development, algorithm development, and big data analytics that guide strategic business decisions for our customers, helping them use data effectively.   Capital One values complete collaboration with Product Management. As part of your role, you will be relied on for guidance and leadership on our overall program as well as our Product Road Map and prioritization of our associated sprint tasks. This is a team environment.  You will work with product owners to understand desired application capabilities and testing scenarios and continuously improve software engineering practices. You should be comfortable working in a near-start-up environment, preferably having done this before. As a self-starter, you should be comfortable working in a selfless team environment and have an appreciation for diversity of thought, action and team complexion.  As a shared-tech team, we regularly work with other lines of business, so you will be expected to develop healthy relationships with other teams.Technically, you have architected scalable systems and processes and can look at existing processes with a critical eye. You have experience with optimization and performance, integrating with APIs for various Big Data cloud services of different subsystems, and analyzing large segments of search data. Responsibilities: -Implement, refine and validate machine learning algorithms for products and applications-Using Big Data tools (Hadoop, Spark, H2O, AWS) to conduct the analysis of billions of customer transaction records.-Writing software to clean and investigate large, messy data sets of numerical and textural data-Integrating with external data sources and APIs to discover interesting trends-Designing data visualizations to communicate complex data simulations to key company stake holders and customers-Designs and develops data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring-Develop new processes/tasks/objects using core workflow principles that are efficient, well structured, maintainable and easy to understand-Set and enforce coding standards-Direct efforts to define technical requirements-Take responsibility for project activities including work estimation, planning, and stakeholder management, while pushing for project quality.-Implement new scientific analysis and methodologies to support big data analytics efforts and stay current with evolving technologies and capabilities.Position Provides Exposure to:-Front End Skills: Java Script (jQuery, dojo)/CSS/HTML, Python Bokeh-Back End Skills: Micro-services, REST, Python, NodeJS, Database (MongoDB, Cassandra, Postrgres,  etc)-DevOps/Platforms: Amazon Web Service (S3, RDS, EC2, Lambda, SQS, SNS, DynamoDB, CloudFormation, etc), Chef, Docker, Ansible-Build/SCM Tools: Maven, Gradle, Git, PyBuilder-DB/Data Platforms: Kafka, Storm, MongoDB, Hadoop, Spring XD/Spring Batch-Data Science Platforms: Machine Learning applications to solve real-world problems-Deployment Frameworks: KubernetesBasic Qualifications:-Bachelor’s Degree plus 2 years of experience in data analytics, or Master’s Degree, or PhD-At least 1 year of experience in open source programming languages for large scale data analysis-At least 1 year of experience with machine learning-At least 1 year of experience with relational databasesPreferred Qualifications:-Master’s Degree or PhD in a “STEM” major (Science, Technology, Engineering, or Math)-At least 1 year of experience working with AWS, Azure, or similar cloud platform-At least 3 years’ experience in Python, Scala, or R-At least 3 years’ experience developing data science solutions leveraging one of more of the following: operations research, natural language processing, machine learning, deep learning, video/image analysis or time-series analysisCapital One will consider sponsoring a new qualified applicant for employment authorization for this position. No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.comCapital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).,employmentType:SI,identifier:R44295,industry:Full time,title:Senior Associate, Data Science,url:https://www.capitalonecareers.com/job/san-francisco/senior-associate-data-science/1732/8191621,hiringOrganization:{@type:Organization,name:Capital One - US},jobLocation:{@type:Place,address:{@type:PostalAddress,addressLocality:San Francisco,addressRegion:California,addressCountry:United States,streetAddress:,postalCode:}}}

24 days 21 hours ago

Capital One Financial Corporation

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Senior Associate, Data Science Capital One Financial Corporation - San Francisco, CA, United States

   

Location: San Francisco, CA

Company Profile:
Capital One isn't just concerned with what's in your wallet; it's interested in your bank account as well. The company is best known as one of the largest issuers of Visa and MasterCard credit cards in the US, but it also boasts a banking network of approximately 1,000 branches, mainly in New York, New Jersey, Louisiana, Texas, and the Washington, DC area. Subsidiary ING Direct offers online and direct banking without branches. Capital One, which serves more than 50 million customers in the US, Canada, and the UK, also has units that offer auto financing, write home loans, sell insurance, and manage assets for institutional and high-net-worth clients.