Manager, Data Scientist – Recommendation & Personalization Systems

Capital One

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

Posted 9/30/2026full-timeUnited StatesJunior💰 $197,300 - $245,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leveraging Python, AWS, and machine learning to develop data-driven solutions and personalized recommendation engines. Proven ability to translate complex data science concepts into actionable business strategies while collaborating with cross-functional teams.

Highest-signal resume keywords

Python ProgrammingMachine LearningAWS Cloud ComputingData AnalyticsRelational Databases

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisModel DevelopmentClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningModel ValidationBacktestingData Retrieval

Soft Skills

CollaborationProblem SolvingCritical ThinkingCommunicationStakeholder Engagement

Tools & Technologies

CondaH2OSparkOpen-Source ToolsFoundation Models

Industry Keywords

Quantitative FieldRecommender SystemsReinforcement LearningCausal InferenceBusiness Goals

Tech Stack

Tools & technologies

AWSCloudPythonSpark

About the role

Key responsibilities & impact

Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver customer-focused products
Leverage Python, Conda, AWS, H2O, Spark, and other technologies to uncover insights from large volumes of numeric and textual data
Build machine learning models through design, training, evaluation, validation, and implementation
Research and evaluate emerging technologies and state-of-the-art methods
Develop personalized recommendation engines for Capital One web and mobile applications
Contribute to research involving foundation models, reinforcement learning, causal inference, transformer architectures, and recommender systems
Translate complex data science work into tangible business goals
Develop talent and challenge conventional thinking with stakeholders

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics, or a Master's Degree in a quantitative field or MBA with quantitative concentration plus 4 years of experience, or a PhD in a quantitative field plus 1 year of experience
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 clustering, classification, sentiment analysis, time series, and deep learning
Experience building, validating, and backtesting models; interpreting confusion matrices and ROC curves
Experience retrieving, combining, and analyzing data from varied sources and structures
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonus(es) 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