✦ Luna Orbit — Data & Analytics

Principal Associate, Data Scientist - AI for Data

at Capital One Financial

📍 3 Locations Unknown 💰 $161K – $184K USD / year Posted March 22, 2026
Salary $161K – $184K USD / year
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Bachelor's degree or higher in a quantitative field
Category Data & Analytics

This role involves developing machine learning models and data science solutions to analyze large datasets, leveraging cloud platforms and advanced analytics techniques.

  • Partner with teams to develop ML models
  • Leverage cloud platforms for data analysis
  • Build scalable data pipelines
  • Interpret complex data
  • Improve data-driven decision making

Focus on data science, machine learning, Python programming, AWS cloud, H2O, Spark, and statistical modeling within a financial data environment.

The ideal candidate is a mid-level data scientist with 3+ years experience in machine learning, data analysis, and cloud platforms like AWS. They are proficient in Python, big data tools, and statistical modeling, with strong problem-solving skills.

data science solutionsmachine learning modelscloud computingstatisticsdata analysis
text analyticsnatural language processingdeep learningclusteringclassification
PythonCondaAWSH2OSpark
pythonawsh2osparkmachine learningclusteringclassificationsentiment analysisdeep learningdata analysis
PythonCondaAWSH2OSparkmachine learningclusteringclassificationsentiment analysistime seriesdeep learningdata sciencebig datarelational database
creativityproblem-solvingcommunicationcollaborationadaptabilityinitiative

Required

Bachelor's degreeMaster's degreePhD
Industry Financial Technology / Fintech
Job Function Develop and implement machine learning models for data analysis
Role Subtype Data Scientist
Tech Domains Python, Amazon Web Services, H2O, Spark, relational database
data scientistmachine learningpythonawsh2osparkbig datarelational databaseclusteringclassificationsentiment analysisdeep learningdata analysiscloud computingstatisticsdata science solutionsnatural language processingtext analyticsdata modelingAI

Lack of experience with machine learning models, No proficiency in Python or cloud platforms, No experience with big data tools

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