Description
As a Senior Manager, Data Science at Capital One, you will partner with a cross-functional team to deliver a product customers love, leveraging technologies like Python, Conda, AWS, H2O, and Spark to reveal insights in huge volumes of data.
The Mainstreet Growth and Resiliency team uses supervised and reinforcement learning models to predict customer needs and recommend optimal solutions, writing custom Python libraries and using open-source ML libraries.
Responsibilities:
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies to reveal insights in huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Translate complex work into tangible business goals
The Ideal Candidate:
- Is customer-focused and passionate about doing the right thing
- Is innovative, staying current on emerging technologies and seeking opportunities to apply them
- Is creative, thriving on bringing definition to big, undefined problems
- Is a leader, challenging conventional thinking and working with stakeholders to identify and improve the status quo
- Is technical, comfortable with open-source languages and developing further
- Is statistically-minded, with experience building and validating models
- Is a data guru, skilled in retrieving, combining, and analyzing data from various sources
Basic Qualifications:
- Bachelor's, Master's, or PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science)
- 7, 5, or 2 years of experience performing data analytics, respectively
- 2 years of experience leveraging open-source programming languages for large-scale data analysis
- 2 years of experience working with machine learning
- 2 years of experience utilizing relational databases
Preferred Qualifications:
- PhD in a STEM field plus 4 years of experience in data analytics
- 1 year of experience working with AWS
- 1 year of experience managing people
- 5 years of experience in Python, Scala, or R for large-scale data analysis
- 5 years of experience with machine learning
Salary: $229,900 - $262,400 (Cambridge, MA and McLean, VA), $250,800 - $286,200 (New York, NY)
Benefits: Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits.