Principal Associate, Data Scientist - Application Fraud Team

Join our dynamic Application Fraud data science team at Capital One, where we develop cutting-edge machine learning models to safeguard our customers against fraud. In this role, you will play a vital part in preventing fraud at the application stage, utilizing Real Time models to deliver an exceptional customer experience. Our team thrives on innovation, automation, and a customer-first mindset.

Key Responsibilities:

• Collaborate with a talented team of data scientists, software engineers, and product managers to create products that our customers love.
• Utilize a diverse technology stack, including Python, Conda, AWS, H2O, and Spark, to uncover insights from extensive numeric and textual datasets.
• Oversee the entire lifecycle of machine learning model development, from design and training to evaluation, validation, and implementation.
• Communicate complex analytical concepts effectively to translate insights into actionable business goals.
• Stay at the forefront of technology by researching and evaluating emerging tools and methodologies, and seek opportunities to implement innovative solutions.
• Approach undefined challenges with creativity, bringing clarity and definition to complex problems.
• Champion leadership principles by challenging conventional thinking and collaborating with stakeholders to enhance current processes.
• Invest in talent development within your team and support others in their learning journey.
• Utilize your statistical expertise to build, validate, and backtest models, interpreting results through tools like confusion matrices and ROC curves.
• Access and analyze large datasets, combining data from various sources to drive insightful decisions.

Qualifications:

• A Bachelor's Degree in a quantitative field (such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science) with a minimum of 5 years of relevant data analytics experience.
• A Master's Degree in a quantitative field or an MBA with a quantitative focus with 3 years of relevant data analytics experience.
• A PhD in a quantitative field is also welcomed.
• A Master's Degree or PhD in a STEM field (Science, Technology, Engineering, Mathematics) with corresponding experience in data analytics.
• At least 1 year of experience with AWS.
• A minimum of 3 years of experience in Python, Scala, or R.
• At least 3 years of experience working with machine learning.
• A minimum of 3 years of experience with SQL.

At Capital One, we offer a comprehensive suite of inclusive health, financial, and wellness benefits designed to support your overall well-being. Eligibility for benefits varies based on employment status and management level.