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Manager, Data Scientist – Alternative Data Strategy
Capital OneCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics and machine learning, leveraging programming languages and cloud computing to build and validate models. Capable of translating complex data insights into actionable business strategies while collaborating effectively across teams.
Highest-signal resume keywords
Python ProgrammingMachine LearningData AnalyticsAWS Cloud ComputingModel Validation
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Evaluate emerging vendors and data products for US Card credit decisioning
- Engineer high-impact features and build scalable data processing and monitoring systems
- Serve as the dedicated data domain expert guiding dataset applications
- Navigate risk governance for vendor models and build challenger models using new data
- Partner with data scientists, software engineers, and product managers to deliver customer 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
- Continuously learn and collaborate cross-functionally
Requirements
What you’ll need- Currently has, or is in the process of obtaining by the scheduled start date, one of the following: Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics; Master's Degree in a quantitative field or MBA with a quantitative concentration plus 4 years of experience performing data analytics; or PhD in a quantitative field plus 1 year of experience performing data analytics
- 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 building, validating, and backtesting models
- Experience with clustering, classification, sentiment analysis, time series, and deep learning
- Skills to retrieve, combine, and analyze 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
- Employment authorization sponsorship consideration for a new qualified applicant
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 AnalysisOpen Source ProgrammingRelational DatabasesClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningModel BacktestingData Science Solutions
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
CondaH2OSpark
Certifications & Qualifications
Bachelor's Degree in Quantitative FieldMaster's Degree in Quantitative Field or MBAPhD in Quantitative Field
Industry Keywords
Data ProcessingRisk GovernanceVendor ModelsChallenger ModelsEmerging Technologies