Principal Associate, Data Science- Retail Bank Marketing

## Principal Associate, Data Scientist - Retail Bank Marketing

• *About Capital One:**

Capital One is a Fortune 200 company that pioneered data-driven decision-making in financial services, utilizing advanced analytics and technology to personalize customer experiences.

• *The Opportunity:**

Join our Retail Bank Marketing Data Science team to lead the development and implementation of cutting-edge machine learning models. You will play a crucial role in optimizing marketing efficiency, personalizing customer targeting, and forecasting the value of new initiatives across billions of customer records.

• *What You'll Do:**
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver impactful solutions.
• Design, build, train, evaluate, validate, and implement machine learning models through all development phases.
• Leverage a diverse technology stack, including Python, Conda, AWS, H2O, and Spark, to extract valuable insights from large, complex datasets.
• Translate intricate analytical findings and technical work into clear, tangible business goals for stakeholders.
• *Who You Are:**
• **Creative Problem-Solver:** You thrive on defining and solving complex, undefined problems and are not afraid to innovate.
• **Influential Leader:** You challenge conventional thinking, drive improvements, and champion talent development.
• **Statistically Minded:** Proficient in model building, validation, backtesting, and interpreting performance metrics (e.g., confusion matrices, ROC curves). Experienced with clustering, classification, sentiment analysis, time series, and deep learning.
• **Data Guru:** Skilled in retrieving, combining, and analyzing large datasets from various sources, understanding that data comprehension is foundational to effective data science.
• *Qualifications:**
• **Required:**

* Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) + 5 years of data analytics experience, or * Master's Degree in a quantitative field or an MBA with a quantitative concentration + 3 years of data analytics experience, or * PhD in a quantitative field.

• **Preferred:**

* Master’s Degree or PhD in a STEM field. * At least 3 years of experience in Python or R. * At least 3 years of experience with machine learning. * At least 3 years of experience with SQL.

Capital One may consider sponsoring qualified applicants for employment authorization. We offer a comprehensive and competitive benefits package.