Manager, Data Scientist – Financial Services, Pricing

Capital One

. Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver customer-focused products .

Posted 10/28/2026full-timeUnited StatesJunior💰 $179,400 - $225,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and machine learning, leveraging Python, AWS, and open-source tools to develop data-driven solutions. Proven ability to translate complex data insights into actionable business strategies while fostering talent development within teams.

Highest-signal resume keywords

Python ProgrammingMachine LearningAWS Cloud ComputingData AnalyticsStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisModel ValidationDeep LearningClusteringClassificationSentiment AnalysisTime Series AnalysisSQLH2OSpark

Soft Skills

Problem SolvingCollaborationStakeholder EngagementTalent Development

Tools & Technologies

CondaOpen-Source ToolsRelational Databases

Industry Keywords

Quantitative FieldEmerging TechnologiesData Science Solutions

Tech Stack

Tools & technologies

AWSCloudPythonScalaSparkSQL

About the role

Key responsibilities & impact

Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver customer-focused products
Use Python, Conda, AWS, H2O, Spark, and other technologies to uncover insights in large volumes of numeric and textual data
Build machine learning models through design, training, evaluation, validation, and implementation
Translate complex data science work into tangible business goals
Research and evaluate emerging technologies and state-of-the-art methods
Define and solve complex, ambiguous problems
Challenge conventional thinking and improve existing practices with stakeholders
Develop talent within the team and beyond

Requirements

What you’ll need

Bachelor's degree in a quantitative field plus 6 years of experience performing data analytics, or Master's degree/MBA with quantitative concentration plus 4 years, or PhD in a quantitative field plus 1 year
Required degree must be obtained on or before the scheduled start date
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
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Experience with statistical modeling, model validation, backtesting, confusion matrices, ROC curves, clustering, classification, sentiment analysis, time series, and deep learning
Ability to retrieve, combine, and analyze data from varied sources and structures
Capital One will consider sponsoring a new qualified applicant for employment authorization
Preferred: PhD in a STEM field plus 3 years of data analytics experience
Preferred: At least 1 year of experience with AWS
Preferred: At least 4 years of experience with Python, Scala, or R for large-scale data analysis
Preferred: At least 4 years of experience with machine learning
Preferred: At least 4 years of experience with SQL

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Reasonable accommodations for applicants who require them
Equal opportunity and non-discrimination protections