Data Scientist
Credit Key- Full Time
- Junior (1 to 2 years)
Candidates should possess a Bachelor’s degree in a relevant field, such as Computer Science, Statistics, or Mathematics, and have a minimum of 8 years of experience in data science, with at least 5 years in a leadership role. Strong proficiency in Python, SQL, and experience with machine learning frameworks like Pytorch and Transformers are essential. Familiarity with AWS, H2O, Spark, and other relevant data technologies is desired.
As a Senior Manager, Data Science - Shopping, you will partner with cross-functional teams to deliver customer-centric products, leverage a broad technology stack to analyze large datasets, build and implement machine learning models throughout their lifecycle, and translate complex technical findings into actionable business goals. You will lead research into next-generation models and recommendation systems, drive the development of machine learning applications at scale, and foster a collaborative environment within the team.
Offers diverse financial products and services
Capital One provides a variety of financial services aimed at making banking accessible and easy for everyone. The company offers products such as credit cards, savings accounts, car loans, and business checking accounts, catering to both individual consumers and small businesses primarily in the United States. Capital One's approach includes user-friendly banking solutions with no fees or minimums for checking accounts, allowing customers to manage their finances more effectively. They generate revenue through interest on loans, credit card fees, and investment banking services. What sets Capital One apart from its competitors is its strong commitment to financial inclusion and literacy, demonstrated through community partnerships and educational initiatives, such as collaborations with Khan Academy. The company's goal is to create a more inclusive financial system and empower customers with the knowledge and tools they need to make informed financial decisions.