Principal Associate, Data Scientist - AI for Data
AI summary of the role
This role is on the AI for Data team, developing AI-enabled features integrated across the data lifecycle at Capital One.
What you’ll do
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal insights hidden within huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Flex interpersonal skills to translate complexity into tangible business goals
What you’ll bring
- Bachelor's degree in a quantitative field plus 5 years of data analytics experience, or Master's plus 3 years, or PhD
- At least 3 years experience in Python and SQL
- At least 3 years experience with Deep Learning Frameworks such as TensorFlow or PyTorch in large scale training and deployment
- At least 3 years experience with Natural Language Processing, Information Retrieval, Search, Recommendations, or Fine-tuning LLMs
Technologies
Python · Conda · AWS · H2O · Spark · TensorFlow · PyTorch · SQL · Deep Learning · NLP · LLM
Source and classification
Internal deployment & tooling · Evidence for this classification:
Principal Associate, Data Scientist - AI for Data 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 Description The AI for Data team works with the Enterprise Data
More from the job description
Principal Associate, Data Scientist - AI for Data 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 Description The AI for Data team works with the Enterprise Data Product, Tech and Design teams to develop AI-enabled features that are integrated across the data lifecycle. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging AI/ML technologies. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and [... source excerpt omitted ...] 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. Basic Qualifications: 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, Mathemati [... source excerpt omitted ...] ng data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: 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 3 years’ experience in Python, SQL At least 3 years’ experience with Deep Learning Frameworks such as TensorFlow, Pytorch, etc. in large scale training and deployment of deep neural nets and/or transformer architectures. At least 3 ye
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