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About Capital One Financial
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has
2105 open roles
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Listed pay typically runs
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The Principal Associate, Data Scientist - US Card (Generative AI Systems) joins the Generative AI Systems team within Card Data Science. This role involves partnering with cross-functional teams of data scientists, software engineers, and product managers to build and deliver generative AI-based solutions. Day-to-day responsibilities include building machine learning models through all phases of development, from design and training to evaluation and implementation. The position requires leveraging a broad technology stack including Python, Conda, AWS, H2O, Spark, Scala, and SQL. The work focuses on developing state-of-the-art solutions for dialogue, text summarization, reading comprehension, speech recognition, image processing, and time-series sequencing modeling. These applications drive business efficiency for internal analytics teams and enhance customer-facing experiences by solving complex problems within large-scale numeric and textual datasets.
What does a Data Scientist earn in Virginia?
Median $159922 from 90 postings across 9 companies.
Build machine learning models through all phases of development including design, training, evaluation, and validation.
Develop generative AI-based solutions for dialogue, text summarization, speech recognition, and image processing.
Use Python, AWS, Spark, and H2O to extract insights from large volumes of numeric and textual data.
Implement software that delivers internal applications for business efficiency and customer-facing applications.
Research and evaluate emerging technologies to stay current on state-of-the-art AI and machine learning methods.
Translate complex technical work into tangible business goals for cross-functional stakeholders.
Retrieve, combine, and analyze data from a variety of sources and structures.
Contribute research to major NLP and AI/ML conferences.
What we're looking for
Must have a Bachelor's degree in a quantitative field plus 5 years of data analytics experience.
Must have a Master's degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of data analytics experience.
Must have a PhD in a quantitative field.
Must have experience building, validating, and backtesting models using clustering, classification, sentiment analysis, time series, and deep learning.
Must have experience retrieving and analyzing data from various sources and structures.
Must have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Preferred: Master’s or PhD in a STEM field with 3 years of data analytics experience.
Preferred: At least 1 year of AWS experience, 3 years of Python/Scala/R experience, 3 years of machine learning experience, and 3 years of SQL experience.
Python
AWS
Spark
H2O
SQL
Scala
R
Machine Learning
Deep Learning
Conda
Statistical Modeling
Sentiment Analysis
Time Series
Clustering
Classification
Data Analytics
Generative AI
Python
LangChain
AWS
Vector Databases
RAG
Multi-Agent Systems
Machine Learning
Deep Learning
NLP
SQL
Scala
R
Time Series
Clustering
Sentiment Analysis
Statistical Modeling
Data Analytics
Python
AWS
Spark
H2O
SQL
Scala
R
Conda
Machine Learning
Deep Learning
Time Series
Sentiment Analysis
Clustering
Classification
Statistical Modeling
Big Data