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The power of data at Capital One
At Capital One, data is more than just numbers; it’s the heartbeat of our operations. As a pioneering startup in the credit card sector, we revolutionized the industry in 1988 by introducing personalized credit card offers powered by advanced statistical modeling and relational databases. This innovative spirit has propelled us to become a Fortune 200 company, leading the charge in data-driven decision-making. Today, we harness the immense potential of data to create seamless and personalized experiences for our customers, making their financial journeys smoother and more rewarding.
Becoming a data scientist at Capital One
As a Data Scientist at Capital One, you’ll join a team that is at the forefront of technological disruption. Utilizing cutting-edge machine learning and computing technologies, you will work with billions of customer records to uncover insights that can transform everyday financial interactions. Your work will directly contribute to helping customers save money and time while navigating their financial lives.
Team dynamics in Consumer Identity ML
The Consumer Identity ML team operates within Capital One’s AI foundation, focusing on delivering intelligent and personalized customer experiences across our digital platforms. Our award-winning website, mobile app, and chatbot are just a few examples of how we use data science to enhance customer interactions. Collaborating closely with product and engineering teams, we build the necessary data and modeling platforms that allow us to truly understand our customers and cater to their unique needs.
Your role and responsibilities
As part of the Consumer ML team, your responsibilities will encompass all stages of the data science lifecycle. This includes:
- Building machine learning models from design to deployment, ensuring they operate effectively within our systems that serve over 50 million customers.
- Collaborating with various business and product teams to conduct experiments that improve customer experiences in areas like marketing and fraud prevention.
- Utilizing programming languages like Python to analyze vast datasets, including billions of customer transactions and interactions.
Qualities of an ideal candidate
We are looking for an innovative thinker who is passionate about exploring new technologies and methodologies. The ideal candidate will be:
- Creative: You enjoy tackling complex problems and thrive on generating innovative solutions.
- Technical: You possess a strong command of open-source programming languages and have experience with data science tools.
- Statistically minded: You understand the nuances of model building and validation.
- A data guru: You can navigate and analyze large datasets with ease.
Basic and preferred qualifications
To be considered, candidates should possess either:
- A Bachelor’s Degree in a quantitative field, along with two years of relevant experience.
- A Master’s Degree or an MBA with a quantitative focus.
Preferred qualifications include a Master’s or PhD in a STEM field, experience with AWS, Python, and machine learning, as well as proficiency in SQL and natural language processing.
Why Capital One?
At Capital One, we are committed to fostering a diverse and inclusive workplace. We offer competitive salaries and a comprehensive benefits package that supports your well-being and career growth. Whether you’re a seasoned professional or just starting your journey in data science, Capital One provides the resources and opportunities to help you succeed.
Application process
Applying for a position at Capital One is quick and straightforward. We aim to create a welcoming environment, so if you require any accommodations during the application process, please reach out to our recruiting team. We value your unique experiences and perspectives and look forward to welcoming you to our team.