Manager, Data Scientist - Business Cards & Payments
About The Position
The Manager, Data Scientist will join Capital One’s Business Card & Payments Data Science team, which develops machine learning models that power credit underwriting decisions and support emerging business card product strategies. The team builds modeling solutions across customer life cycles and collaborates with business stakeholders, product teams, and software and machine learning engineers to develop innovative approaches and long-term modeling strategy. The role involves partnering with data scientists, software engineers, and product managers to deliver customer-focused products; using technologies including Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data; and developing machine learning models through design, training, evaluation, validation, and implementation. The successful candidate will also communicate technical work in terms of tangible business goals. Capital One describes its data science work as applying modern computing and machine learning technologies to large-scale customer data to help people save money, time, and effort in their financial lives.
Requirements
- Currently hold, or be in the process of obtaining by the scheduled start date, a bachelor's degree in a quantitative field and at least 6 years of experience performing data analytics; or a master's degree in a quantitative field or an MBA with a quantitative concentration and at least 4 years of data analytics experience; or a PhD in a quantitative field and at least 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.
- Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Experience building, validating, and backtesting models, and interpreting confusion matrices or ROC curves.
- Experience with clustering, classification, sentiment analysis, time series, and deep learning.
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 customer-focused products.
- Use technologies such as Python, Conda, AWS, H2O, and Spark to uncover insights in large volumes of numeric and textual data.
- Build machine learning models through design, training, evaluation, validation, and implementation.
- Translate complex technical work into tangible business goals.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being; eligibility varies by employment status and management level.
- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Manager
