Staff Data Scientist, Consumer
RedditFull Time
Junior (1 to 2 years), Senior (5 to 8 years)
Candidates should possess a Bachelor's Degree in a quantitative field and have experience in machine learning model development, evaluation, and operationalization. Proficiency in Python and tools like Spark for data analysis, along with a strong statistical background and experience with various modeling techniques such as clustering, classification, sentiment analysis, time series, and deep learning, are essential. The ideal candidate is innovative, creative, technically proficient with open-source tools and cloud platforms, statistically-minded, and adept at handling large datasets.
The Senior Data Scientist will explore billions of clickstream events to identify customer behavior patterns and develop real-time models that anticipate customer needs and deliver personalized experiences. Responsibilities include building machine learning models through all phases of development, partnering with engineering teams for operationalization in production systems serving over 50 million customers, and collaborating with business and product teams to conduct experiments that improve customer experiences and business outcomes. The role also involves writing software to collect, explore, visualize, and analyze large volumes of numerical and textual data.
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.