Manager, Data Scientist - Velocity Black (Remote-Eligible)
Capital One
Manager, Data Scientist - Velocity Black (Remote-Eligible)
Job Description
Overview
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.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.Team DescriptionVelocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. It's concierge, reimagined for the digital age.By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365.Velocity Black is on a mission to leverage technology to improve our operational efficacy and provide an extraordinary member experience. The Velocity Black AI and ML team is building the models that help provide personalized recommendations for our members. Our solutions are both:Reactive: Match member requests to the best possible options based on their stated request parameters, preferences, and historical behavior, as well as incorporating the expertise of our human agents.
Proactive: Surface tailored, curated recommendations in-app, where content is filtered and personalized to each individual member, anticipating their needs and inspiring new booking experiences with us.
Lead the design, development, and maintenance of personalization and recommendation models.
Apply modern AI/ML methods (e.g. collaborative filtering, ensemble retrievers, embeddings, neural networks, LLM as a judge, etc.) to optimize and elevate member experiences
Collaborate with product/business and engineering to integrate models into our platform, including model registration and ongoing measurement.
Develop evaluation frameworks to monitor performance, bias, and accuracy of recommendations.
Champion data-driven decision making across the team.
Customer first. You love the process of analyzing and creating, and you care about the user of the systems you create. You know at the end of the day it’s about providing tooling to support our agents and enhancements to delight our customers.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and brainstorming various technical methods and designs to find the best solutions. You’re not afraid to share a new idea.
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo to advance us to the most cutting edge methods. You’re passionate about talent development for your own team and beyond.
Technical. You’re comfortable with all things model development, including from pulling together model input data from various sources to deciding on the appropriate methodology to helping to implement use cases within thoughtful architecture designs. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 years of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
Strong proficiency in Python and SQL for large scale data analysis
At least 1 year of experience preparing and transforming large, messy, or sparse datasets for modeling
At least 1 year of experience designing, training, and deploying large-scale models in production
At least 1 year of experience in model lifecycle management and ML ops practices (monitoring, feature stores, retraining, experimentation, and A/B testing)
At least 1 year of experience collaborating cross-functionally with product and engineering to translate business problems into ML solutions
Familiarity with sophisticated ML approaches to personalization models or recommendation systems
Demonstrated ability to influence stakeholders and lead technical strategy
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.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.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).
Locations
- McLean, Virginia, United States (Remote)
- Remote McLean, VirginiaRichmond, VirginiaRichmond (Remote)
Salary
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine learning and AIintermediate
- Data analysis (Python, SQL)intermediate
- Model development and deploymentintermediate
- Personalization and recommendation systemsintermediate
- Cross-functional collaborationintermediate
Required Qualifications
- Bachelor's Degree in quantitative field plus 6 years data analytics experience, or Master's plus 4 years, or PhD plus 1 year (experience)
- At least 1 year of experience leveraging open source programming for large scale data analysis (experience)
- At least 1 year of experience working with machine learning (experience)
- At least 1 year of experience utilizing relational databases (experience)
- PhD in STEM field (preferred) (experience)
Responsibilities
- Lead design, development, and maintenance of personalization and recommendation models
- Apply modern AI/ML methods to optimize member experiences
- Collaborate with product/business and engineering to integrate models
- Develop evaluation frameworks to monitor model performance
- Champion data-driven decision making across the team
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Manager, Data Scientist - Velocity Black (Remote-Eligible) @ Capital One.
Manager, Data Scientist - Velocity Black (Remote-Eligible)
Capital One
Manager, Data Scientist - Velocity Black (Remote-Eligible)
Job Description
Overview
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.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.Team DescriptionVelocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. It's concierge, reimagined for the digital age.By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365.Velocity Black is on a mission to leverage technology to improve our operational efficacy and provide an extraordinary member experience. The Velocity Black AI and ML team is building the models that help provide personalized recommendations for our members. Our solutions are both:Reactive: Match member requests to the best possible options based on their stated request parameters, preferences, and historical behavior, as well as incorporating the expertise of our human agents.
Proactive: Surface tailored, curated recommendations in-app, where content is filtered and personalized to each individual member, anticipating their needs and inspiring new booking experiences with us.
Lead the design, development, and maintenance of personalization and recommendation models.
Apply modern AI/ML methods (e.g. collaborative filtering, ensemble retrievers, embeddings, neural networks, LLM as a judge, etc.) to optimize and elevate member experiences
Collaborate with product/business and engineering to integrate models into our platform, including model registration and ongoing measurement.
Develop evaluation frameworks to monitor performance, bias, and accuracy of recommendations.
Champion data-driven decision making across the team.
Customer first. You love the process of analyzing and creating, and you care about the user of the systems you create. You know at the end of the day it’s about providing tooling to support our agents and enhancements to delight our customers.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and brainstorming various technical methods and designs to find the best solutions. You’re not afraid to share a new idea.
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo to advance us to the most cutting edge methods. You’re passionate about talent development for your own team and beyond.
Technical. You’re comfortable with all things model development, including from pulling together model input data from various sources to deciding on the appropriate methodology to helping to implement use cases within thoughtful architecture designs. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 years of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
Strong proficiency in Python and SQL for large scale data analysis
At least 1 year of experience preparing and transforming large, messy, or sparse datasets for modeling
At least 1 year of experience designing, training, and deploying large-scale models in production
At least 1 year of experience in model lifecycle management and ML ops practices (monitoring, feature stores, retraining, experimentation, and A/B testing)
At least 1 year of experience collaborating cross-functionally with product and engineering to translate business problems into ML solutions
Familiarity with sophisticated ML approaches to personalization models or recommendation systems
Demonstrated ability to influence stakeholders and lead technical strategy
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.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.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).
Locations
- McLean, Virginia, United States (Remote)
- Remote McLean, VirginiaRichmond, VirginiaRichmond (Remote)
Salary
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine learning and AIintermediate
- Data analysis (Python, SQL)intermediate
- Model development and deploymentintermediate
- Personalization and recommendation systemsintermediate
- Cross-functional collaborationintermediate
Required Qualifications
- Bachelor's Degree in quantitative field plus 6 years data analytics experience, or Master's plus 4 years, or PhD plus 1 year (experience)
- At least 1 year of experience leveraging open source programming for large scale data analysis (experience)
- At least 1 year of experience working with machine learning (experience)
- At least 1 year of experience utilizing relational databases (experience)
- PhD in STEM field (preferred) (experience)
Responsibilities
- Lead design, development, and maintenance of personalization and recommendation models
- Apply modern AI/ML methods to optimize member experiences
- Collaborate with product/business and engineering to integrate models
- Develop evaluation frameworks to monitor model performance
- Champion data-driven decision making across the team
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Manager, Data Scientist - Velocity Black (Remote-Eligible) @ Capital One.