Manager, Data Scientist

Responsibilities

• Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver high-quality data products.
• Leverage a broad technology stack including Python, Conda, AWS, H2O, and Spark to extract insights from massive volumes of numeric and textual data.
• Build machine learning models through all development phases, including design, training, evaluation, validation, and implementation.
• Translate complex technical findings into tangible business goals and actionable insights for stakeholders.

Requirements

• Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science) plus 6 years of experience in data analytics.
• Master's degree in a quantitative field plus 4 years of experience in data analytics.
• PhD in a quantitative field plus 1 year of experience in 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.

Preferred Qualifications

• PhD in a STEM field plus 3 years of experience in data analytics.
• At least 4 years of experience in Python, Scala, R, or SQL for large-scale data analysis.
• At least 4 years of experience with machine learning.
• At least 2 years of experience managing production repositories on GitHub.
• At least 1 year of experience working with Spark or PySpark.

Benefits

• Comprehensive and inclusive health, financial, and other benefits designed to support total well-being.
• Performance-based incentive compensation, which may include cash bonuses or long-term incentives.
• Opportunities for professional growth and talent development.

About the Company

Capital One is a leader in data-driven decision-making and a Fortune 200 company. We use cutting-edge computing and machine learning technologies to personalize financial experiences and help everyday people manage their financial lives more effectively.