Principal Associate, Data Science
Capital One
Principal Associate, Data Science
Job Description
Overview
Principal Associate, Data Scientist - [Retail Bank]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 DescriptionThe Retail Bank Operations team is at the forefront of leveraging cutting-edge technology to empower our operations teams to better serve our customers. We utilize machine learning and AI to streamline processes in fraud detection, claims processing, and quality control. You will be the driving force to lead research, innovate, and develop new applications with emerging AI/ML technologies. Our areas of focus include multi-agentic workflows, sequence modeling, and LLM model tuning.Role DescriptionIn this role, you will:Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver AI powered solutions to increase operational efficiency.
Leverage a broad stack of technologies — Python, AWS, Spark, Kubernetes and more — to reveal the insights hidden within huge volumes of numeric and textual data using deep learning techniques such as transformers, LSTMs, and embeddings
Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications and multi-agentic workflows.
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features.
Innovative. You are deeply engaged in AI/ML research and stay ahead of the curve on emerging GenAI advancements. You seek out opportunities to apply state-of-the-art methods to real-world problems.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. 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. You're passionate about talent development for your own team and beyond.
Technical. You have hands-on experience in AI/ML development, working with open-source tools and cloud computing platforms. You are proficient in NLP and LLM tuning.
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 5 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 3 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)
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
At least 1 year of experience working with AWS
At least 1 year of experience in GenAI application development.
At least 1 year of experience with multi-agentic workflows.
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with SQL
At least 3 years’ experience with Machine Learning
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 McLean, VirginiaMcLean
Salary
50,000 - 85,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python, AWS, Spark, Kubernetesintermediate
- Machine Learning and AIintermediate
- Natural Language Processing (NLP)intermediate
- Large Language Models (LLMs) fine-tuningintermediate
- SQLintermediate
- GenAI application developmentintermediate
- Multi-agentic workflowsintermediate
Required Qualifications
- Bachelor's Degree in quantitative field plus 5 years data analytics experience, or Master's plus 3 years, or PhD (Basic) (experience)
- Master’s Degree in STEM field plus 3 years data analytics, or PhD in STEM (Preferred) (experience)
- At least 3 years’ experience in Python, Scala, or R (Preferred) (experience)
- At least 3 years’ experience with SQL (Preferred) (experience)
- At least 3 years’ experience with Machine Learning (Preferred) (experience)
Responsibilities
- Partner with cross-functional team to deliver AI powered solutions
- Leverage technologies to reveal insights from numeric and textual data using deep learning
- Fine-tune advanced Large Language Models for domain-specific applications
- Be the expert in NLP to harness LLMs for business applications
- Lead research, innovate, and develop new applications with emerging AI/ML technologies
- Focus on multi-agentic workflows, sequence modeling, and LLM model tuning
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Principal Associate, Data Science @ Capital One.
Related Books and Jobs
Principal Associate, Data Science
Capital One
Principal Associate, Data Science
Job Description
Overview
Principal Associate, Data Scientist - [Retail Bank]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 DescriptionThe Retail Bank Operations team is at the forefront of leveraging cutting-edge technology to empower our operations teams to better serve our customers. We utilize machine learning and AI to streamline processes in fraud detection, claims processing, and quality control. You will be the driving force to lead research, innovate, and develop new applications with emerging AI/ML technologies. Our areas of focus include multi-agentic workflows, sequence modeling, and LLM model tuning.Role DescriptionIn this role, you will:Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver AI powered solutions to increase operational efficiency.
Leverage a broad stack of technologies — Python, AWS, Spark, Kubernetes and more — to reveal the insights hidden within huge volumes of numeric and textual data using deep learning techniques such as transformers, LSTMs, and embeddings
Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications and multi-agentic workflows.
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features.
Innovative. You are deeply engaged in AI/ML research and stay ahead of the curve on emerging GenAI advancements. You seek out opportunities to apply state-of-the-art methods to real-world problems.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. 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. You're passionate about talent development for your own team and beyond.
Technical. You have hands-on experience in AI/ML development, working with open-source tools and cloud computing platforms. You are proficient in NLP and LLM tuning.
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 5 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 3 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)
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
At least 1 year of experience working with AWS
At least 1 year of experience in GenAI application development.
At least 1 year of experience with multi-agentic workflows.
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with SQL
At least 3 years’ experience with Machine Learning
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 McLean, VirginiaMcLean
Salary
50,000 - 85,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python, AWS, Spark, Kubernetesintermediate
- Machine Learning and AIintermediate
- Natural Language Processing (NLP)intermediate
- Large Language Models (LLMs) fine-tuningintermediate
- SQLintermediate
- GenAI application developmentintermediate
- Multi-agentic workflowsintermediate
Required Qualifications
- Bachelor's Degree in quantitative field plus 5 years data analytics experience, or Master's plus 3 years, or PhD (Basic) (experience)
- Master’s Degree in STEM field plus 3 years data analytics, or PhD in STEM (Preferred) (experience)
- At least 3 years’ experience in Python, Scala, or R (Preferred) (experience)
- At least 3 years’ experience with SQL (Preferred) (experience)
- At least 3 years’ experience with Machine Learning (Preferred) (experience)
Responsibilities
- Partner with cross-functional team to deliver AI powered solutions
- Leverage technologies to reveal insights from numeric and textual data using deep learning
- Fine-tune advanced Large Language Models for domain-specific applications
- Be the expert in NLP to harness LLMs for business applications
- Lead research, innovate, and develop new applications with emerging AI/ML technologies
- Focus on multi-agentic workflows, sequence modeling, and LLM model tuning
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Principal Associate, Data Science @ Capital One.
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