Senior Director, Data Science

Capital One

. Partner with software engineers, distinguished researchers, and solutions architects to drive decisions through modeling .

Posted 10/7/2026full-timeRemote • United StatesSenior💰 $286,200 - $392,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in machine learning model development, data analytics, and open-source programming for large-scale data analysis. Proficient in designing AI/ML solutions and collaborating with cross-functional teams to influence strategic decisions.

Highest-signal resume keywords

Machine LearningOpen-Source Programming LanguagesData AnalyticsCloud Computing PlatformsModel Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisModel ValidationClusteringClassificationSentiment AnalysisTime SeriesDeep LearningRelational DatabasesAI/ML Model DesignBenchmarking

Soft Skills

CollaborationInfluencingCommunication

Tools & Technologies

AWSJenkinsGitHubAnsibleChefArtifactoryAWS CloudFormationDevOpsDevSecOpsCI/CD Tools

Industry Keywords

Quantitative FieldDigital TechnologiesOpen-Source SoftwareModel StrategyRegulatory Compliance

Tech Stack

Tools & technologies

AnsibleAWSChefCloudJenkinsMicroservicesPythonScala

About the role

Key responsibilities & impact

Partner with software engineers, distinguished researchers, and solutions architects to drive decisions through modeling
Define and drive an end state based on simplicity, digital technologies, cloud hosting, and open-source software
Distill complex interconnected modeling systems to influence senior business leaders on model strategy, business use, and risks
Assess, challenge, and defend state-of-the-art decision-making systems to internal and regulatory partners
Shape machine-learning model development from design through training, evaluation, validation, and implementation
Oversee benchmark and challenger model development to stress-test critical modeling decisions
Design AI/ML models and build solutions for agentic AI products
Design experiments and A/B tests, model telemetry, and turn results into AI strategy and guidance for C-suite leadership

Requirements

What you’ll need

Bachelor's degree in a quantitative field plus 11 years of experience performing data analytics, or Master's degree/MBA with quantitative concentration plus 9 years, or PhD in a quantitative field plus 6 years
Currently has, or is in the process of obtaining, the required degree, with completion by the scheduled start date
At least 6 years of experience leveraging open-source programming languages for large-scale data analysis
At least 6 years of experience working with machine learning
At least 6 years of experience utilizing relational databases
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Experience building, validating, and backtesting models
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Preferred: PhD in STEM plus 5 years of experience in data analytics
Preferred: at least 6 years of experience in Python, Scala, or R for large-scale data analysis
Preferred: at least 6 years of experience with machine learning
Preferred: at least 2 years of experience with AWS
Preferred: at least 6 years of experience with complex architectural patterns (SOA), APIs, microservices, and event streams
Preferred: at least 6 years of experience with DevOps or DevSecOps and CI/CD tools including Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation, GitHub, and Sonar

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
Employment authorization sponsorship may be considered for a new qualified applicant
Remote work option