Description
As a Manager, Data Science at Capital One, you will lead the development of advanced machine learning solutions to optimize customer acquisition and deliver personalized experiences. You will partner with cross-functional teams to deploy predictive models and reinforcement learning across critical touchpoints in the marketing funnel.
Responsibilities:
- Partner with data scientists, software engineers, and product managers to deliver a product customers love
- Leverage technologies like Python, Conda, AWS, H2O, Spark to reveal insights in large volumes of data
- Build machine learning models through all phases of development, from design to implementation
- Translate complex work into tangible business goals
- Adhere to Capital One's hybrid policy regarding required on-site presence
The Ideal Candidate:
- Is customer-focused and passionate about doing the right thing
- Is a leader who challenges conventional thinking and works with stakeholders to improve the status quo
- Is technically skilled with open-source languages and cloud computing platforms
- Has experience with machine learning, clustering, classification, sentiment analysis, time series, and deep learning
- Is a data guru with skills to retrieve, combine, and analyze data from various sources
Basic Qualifications:
- Bachelor's, Master's, or PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science)
- 6, 4, or 1 years of experience performing data analytics respectively
- 1 year of experience with open-source programming languages, machine learning, and relational databases
Preferred Qualifications:
- PhD in STEM field with 3 years of experience in data analytics
- Experience with AWS, Python, Scala, R, machine learning, and SQL
Salary Information:
- Cambridge, MA: $197,300 - $225,100
- McLean, VA: $197,300 - $225,100
- New York, NY: $215,200 - $245,600
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial, and other benefits