Data Scientist leveraging latest generative AI technologies for customer solutions at Capital One. Building scalable models and collaborating with multiple internal teams.
About the role
- Applied Data Scientist building and scaling marketing science products at Triple Whale. Focused on deploying statistical models and advanced analytics for customer-facing solutions.
Responsibilities
- Build marketing measurement and optimization products (e.g., attribution models, MMM, incrementality testing, forecasting systems)
- Develop and deploy statistical and machine learning models to production
- Create scalable data pipelines and APIs that serve real-time analytics
- Partner closely with Product, Engineering, and other stakeholders to translate business questions into clear analytical solutions.
- Own features end to end from statistical design and validation through deployment, monitoring, and iteration.
Requirements
- 4–7 years of experience in applied data science
- Strong Python skills (pandas, scikit-learn, statistical libraries)
- Experience deploying models to production (not just notebooks)
- Solid statistics and machine learning fundamentals
- SQL and database experience
- Experience in building APIs or backend services
- Bachelor's or Master's in a quantitative field (Statistics, CS, Math, Machine Learning/Data Science)
- Strong English communication skills with technical and non-technical audiences
- Self-starter comfortable with ambiguity and autonomy.
Benefits
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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