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About the Role
Join an elite Applied AI team within AI Foundations, operating at the intersection of deep research and massive real-world impact. We are pioneering the next generation of personalized customer experiences across Capital One's web and mobile applications, leveraging our high-scale ML models. Our core mission involves architecting and deploying cutting-edge personalized recommendation engines. This is powered by original research into homegrown Foundation Models, advanced Reinforcement Learning techniques, and a state-of-the-art scalable architecture built for billions of interactions. Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems.
Responsibilities
- 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 the 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 the complexity of work into tangible business goals
Requirements
- Customer first: prioritize making the right decision for customers
- Innovative: continually research and evaluate emerging technologies and apply them
- Creative: thrive on bringing definition to big, undefined problems and sharing new ideas
- Leader: challenge conventional thinking and work with stakeholders to improve the status quo
- Technical: comfortable with open-source languages and developing data science solutions using open-source tools and cloud computing platforms
- Statistically-minded: experience building, validating, and backtesting models; interpreting statistical outputs; and experience with clustering, classification, sentiment analysis, time series, and deep learning
- Data guru: skilled in retrieving, combining, and analyzing data from various sources and structures
Skills
- Python
- Conda
- AWS
- H2O
- Spark
- Machine learning
- Relational databases
- SQL
- Scala
- R
- Clustering
- Classification
- Sentiment analysis
- Time series
- Deep learning
Location
- Cambridge, MA
- McLean, VA
- Plano, TX
- Richmond, VA
- San Francisco, CA
- San Jose, CA
Work Type
- Full-time
Experience Level
- 6 years of experience performing data analytics with a Bachelor's Degree
- 4 years of experience performing data analytics with a Master's Degree or MBA with a quantitative concentration
- 1 year of experience performing data analytics with a PhD
- At least 1 year 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
- 3 years of experience in data analytics with a PhD in STEM
- 4 years of experience in Python, Scala, or R for large scale data analysis
- 4 years of experience with machine learning
- 4 years of experience with SQL
- 1 year of experience working with AWS
Education Level
- Bachelor's Degree in a quantitative field
- Master's Degree in a quantitative field or an MBA with a quantitative concentration
- PhD in a quantitative field
- PhD in STEM field
Salary/Compensations
- Cambridge, MA: $197,300 - $225,100
- McLean, VA: $197,300 - $225,100
- Plano, TX: $179,400 - $204,700
- Richmond, VA: $179,400 - $204,700
- San Francisco, CA: $215,200 - $245,600
- San Jose, CA: $215,200 - $245,600
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being
About the Company
- 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.
Equal Opportunity
- Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
- 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.