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Senior Manager, Data Science – Bureau Data Strategy
Capital One. Partner with cross-functional data scientists, software engineers, and product managers to deliver customer-focused products .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leveraging Python, AWS, and machine learning to develop data-driven solutions that align with business objectives. Proven ability to collaborate with cross-functional teams and translate complex data insights into actionable strategies.
Highest-signal resume keywords
Python ProgrammingMachine LearningAWS ExperienceData AnalyticsRelational Databases
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisMachine Learning Model DevelopmentOpen Source Programming LanguagesLarge Scale Data AnalysisData Science Solutions Development
Soft Skills
Stakeholder CollaborationTalent Development
Tools & Technologies
CondaH2OSparkCloud Computing Platforms
Industry Keywords
Credit Bureau DataUnderwriting
Tech Stack
Tools & technologiesAWSCloudOpen SourcePythonScalaSpark
About the role
Key responsibilities & impact- Partner with cross-functional 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
- Translate complex data science work into tangible business goals
- Generate insights and extract value from credit bureau data
- Help shape how credit bureau data is used in underwriting at Capital One
- Develop talent and improve the status quo through stakeholder collaboration
Requirements
What you’ll need- Currently has, or is in the process of obtaining, a required degree by the scheduled start date
- Bachelor's degree in a quantitative field plus 7 years of experience performing data analytics; or Master's degree in a quantitative field or MBA with a quantitative concentration plus 5 years of experience; or PhD in a quantitative field plus 2 years of experience
- At least 2 years of experience leveraging open source programming languages for large scale data analysis
- At least 2 years of experience working with machine learning
- At least 2 years of experience utilizing relational databases
- Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
- Preferred: PhD in STEM plus 4 years of experience in data analytics
- Preferred: At least 1 year of experience working with AWS
- Preferred: At least 1 year of experience managing people
- Preferred: At least 5 years of experience in Python, Scala, or R for large scale data analysis
- Preferred: At least 5 years of experience with machine learning
- Capital One will consider sponsoring a new qualified applicant for employment authorization
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 with disabilities