Manager, Data Science

Capital One

. Partner with cross-functional 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 building and implementing machine learning models, utilizing Python and cloud technologies to analyze large datasets. Proven ability to translate complex data science concepts into actionable business strategies while leading talent development and innovation.

Highest-signal resume keywords

Python ProgrammingMachine Learning ExperienceData Analytics ExperienceCloud Computing PlatformsRelational Databases

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisModel ValidationClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningRecommendation EnginesData RetrievalData Combination

Soft Skills

Cross-Functional CollaborationTalent DevelopmentInnovative Thinking

Tools & Technologies

AWSH2OSparkConda

Certifications & Qualifications

Bachelor's Degree in Quantitative FieldMaster's Degree in Quantitative Field or MBAPhD in Quantitative Field

Industry Keywords

Data ScienceMachine Learning SolutionsEmerging TechnologiesFoundation ModelsReinforcement LearningCausal InferenceTransformer ArchitecturesRecommender Systems

Tech Stack

Tools & technologies

AWSCloudPythonSpark

About the role

Key responsibilities & impact

Partner with cross-functional data scientists, software engineers, and product managers to deliver customer-focused products
Use Python, Conda, AWS, H2O, Spark, and other technologies to analyze 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
Develop personalized recommendation engines and high-scale machine learning solutions for web and mobile applications
Contribute to research involving foundation models, reinforcement learning, causal inference, transformer architectures, and recommender systems
Lead and develop talent while challenging conventional thinking and improving the status quo

Requirements

What you’ll need

Currently has, or is in the process of obtaining, one of the following by the scheduled start date: Bachelor's Degree in a quantitative field plus 6 years of data analytics experience; Master's Degree in a quantitative field or MBA with a quantitative concentration plus 4 years of data analytics experience; or PhD in a quantitative field plus 1 year of data analytics 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
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 bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Reasonable accommodations for applicants with disabilities