Capital One
Overview
Senior Data Scientist - NLP. Data is at the center of everything we do. As a startup, we disrupted the credit card industry by personalizing every credit card offer using statistical modeling and relational databases, and we continue to leverage data-driven decision-making at scale.
As a Data Scientist at Capital One, you will be part of a team that operates across billions of customer records to unlock opportunities that help everyday people save money, time, and reduce friction in their financial lives.
Team Description AI Foundations Specialist Models Data Science builds and ships state-of-the-art scalable AI/ML solutions for Capital One\'s mobile app. We partner with product, tech, and design teams to deliver features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One\'s digital assistant Eno, or search for useful contents. You will drive experimentation, innovation, and the creation of next-generation experiences powered by the latest generative AI technologies.
Responsibilities
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products that change how customers interact with their money.
Leverage a broad technology stack — PyTorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal insights from large volumes of numeric and textual data.
Be the NLP expert to harness Large Language Models (LLMs), adapt and fine-tune them for customer-facing applications and features.
Build ML and NLP models through all development phases, from design to training, evaluation, and validation; partner with engineering teams to operationalize them in scalable production systems serving 80+ million customers.
Translate complex work into tangible business goals through strong interpersonal communication.
The Ideal Candidate is:
Customer first. You focus on making the right decision for customers.
Innovative. You continually research and apply emerging technologies and state-of-the-art methods.
Creative. You enjoy solving undefined problems and sharing new ideas.
A leader. You challenge conventional thinking and contribute to talent development.
Technical. You are comfortable with advanced ML/DL, language models, open-source tools, and cloud platforms.
Influential. You communicate findings clearly to both technical and non-technical audiences and lead cross-functional teams.
Experienced in training language models or large computer vision models, with expertise in subdomains such as training optimization, self-supervised learning, explainability, RLHF.
Engineering-minded, with a track record of delivering models at scale and contributing libraries, platforms, or solution-level code to products.
Basic Qualifications
Currently has, or is in the process of obtaining, one of the following with the expectation of completion by the start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 2 years of data analytics experience.
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) or an MBA with a quantitative concentration.
Preferred Qualifications
Master\'s Degree or PhD in STEM fields
Experience with AWS
At least 2 years of experience in Python, Scala, or R
At least 2 years of experience with machine learning
At least 2 years of experience with SQL
Capital One will sponsor qualified applicants for employment authorization where permitted. The salary ranges listed are location-based and apply to full-time roles in the specified locations. Salaries for part-time roles will be prorated. This role may be eligible for performance-based incentives, which may include cash bonuses or long-term incentives.
Capital One offers a comprehensive, competitive, and inclusive set of benefits. See the Capital One Careers website for details. Eligibility varies by status and level.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with applicable laws and regulations.
If you require accommodations during the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. For technical questions about the recruiting process, please email Careers@capitalone.com.
Capital One does not provide, endorse, or guarantee third-party products, services, or information available through this site. Some positions posted are for Capital One entities in specific locations (e.g., Canada, UK, Philippines).
#J-18808-Ljbffr
As a Data Scientist at Capital One, you will be part of a team that operates across billions of customer records to unlock opportunities that help everyday people save money, time, and reduce friction in their financial lives.
Team Description AI Foundations Specialist Models Data Science builds and ships state-of-the-art scalable AI/ML solutions for Capital One\'s mobile app. We partner with product, tech, and design teams to deliver features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One\'s digital assistant Eno, or search for useful contents. You will drive experimentation, innovation, and the creation of next-generation experiences powered by the latest generative AI technologies.
Responsibilities
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products that change how customers interact with their money.
Leverage a broad technology stack — PyTorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal insights from large volumes of numeric and textual data.
Be the NLP expert to harness Large Language Models (LLMs), adapt and fine-tune them for customer-facing applications and features.
Build ML and NLP models through all development phases, from design to training, evaluation, and validation; partner with engineering teams to operationalize them in scalable production systems serving 80+ million customers.
Translate complex work into tangible business goals through strong interpersonal communication.
The Ideal Candidate is:
Customer first. You focus on making the right decision for customers.
Innovative. You continually research and apply emerging technologies and state-of-the-art methods.
Creative. You enjoy solving undefined problems and sharing new ideas.
A leader. You challenge conventional thinking and contribute to talent development.
Technical. You are comfortable with advanced ML/DL, language models, open-source tools, and cloud platforms.
Influential. You communicate findings clearly to both technical and non-technical audiences and lead cross-functional teams.
Experienced in training language models or large computer vision models, with expertise in subdomains such as training optimization, self-supervised learning, explainability, RLHF.
Engineering-minded, with a track record of delivering models at scale and contributing libraries, platforms, or solution-level code to products.
Basic Qualifications
Currently has, or is in the process of obtaining, one of the following with the expectation of completion by the start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 2 years of data analytics experience.
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) or an MBA with a quantitative concentration.
Preferred Qualifications
Master\'s Degree or PhD in STEM fields
Experience with AWS
At least 2 years of experience in Python, Scala, or R
At least 2 years of experience with machine learning
At least 2 years of experience with SQL
Capital One will sponsor qualified applicants for employment authorization where permitted. The salary ranges listed are location-based and apply to full-time roles in the specified locations. Salaries for part-time roles will be prorated. This role may be eligible for performance-based incentives, which may include cash bonuses or long-term incentives.
Capital One offers a comprehensive, competitive, and inclusive set of benefits. See the Capital One Careers website for details. Eligibility varies by status and level.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with applicable laws and regulations.
If you require accommodations during the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. For technical questions about the recruiting process, please email Careers@capitalone.com.
Capital One does not provide, endorse, or guarantee third-party products, services, or information available through this site. Some positions posted are for Capital One entities in specific locations (e.g., Canada, UK, Philippines).
#J-18808-Ljbffr