Manager, Data Scientist -Financial Services- Pricing

Capital One • Plano, TX

5d • $179,400 - $225,100

About The Position

Capital One is seeking a Manager, Data Scientist for Financial Services Pricing. The role joins a data science team using statistical modeling, machine learning, and large-scale data to support customer-focused financial products and data-driven decisions. The position partners with data scientists, software engineers, and product managers to deliver products, and uses technologies such as Python, Conda, AWS, H2O, and Spark to derive insights from large volumes of numeric and textual data. The role builds machine learning models through design, training, evaluation, validation, and implementation, and communicates complex work in terms of business goals.

The ideal candidate is customer-focused, innovative, creative, and a leader who challenges existing approaches and supports talent development. They have hands-on experience developing data science solutions with open-source tools and cloud platforms; understand model development, validation, and backtesting; and can interpret measures such as confusion matrices and ROC curves. Relevant modeling experience includes clustering, classification, sentiment analysis, time series, and deep learning, along with retrieving, combining, and analyzing data from varied sources and structures.

The role requires a qualifying quantitative degree and experience in data analytics, open-source programming for large-scale data analysis, machine learning, and relational databases. Salary ranges vary by location: $197,300–$225,100 in McLean, Virginia, and $179,400–$204,700 in Plano, Texas. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One states it will consider sponsoring a qualified new applicant for employment authorization.

Requirements

• Currently hold, or be in the process of obtaining by the scheduled start date, a qualifying quantitative degree and meet one of these experience combinations: bachelor's degree plus 6 years of data analytics experience; master's degree or quantitatively concentrated MBA plus 4 years of data analytics experience; or PhD plus 1 year of data analytics experience.
• 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.
• Qualifying degree fields include Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field.

Nice To Haves

• PhD in a STEM field plus 3 years of experience in data analytics.
• At least 1 year of experience working with AWS.
• At least 4 years of experience using Python, Scala, or R for large-scale data analysis.
• At least 4 years of experience with machine learning.
• At least 4 years of experience with SQL.

Responsibilities

• Partner with data scientists, software engineers, and product managers to deliver products customers love.
• Use technologies including Python, Conda, AWS, H2O, and Spark to uncover insights in large volumes of numeric and textual data.
• Build machine learning models across all phases, from design and training through evaluation, validation, and implementation.
• Translate complex technical work into tangible business goals.

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
• Performance-based incentive compensation, potentially including cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager