Data Scientist - Python Developer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

This role is on the Creditflow team. Creditflow is a Python package which serves as the analytical foundation of the US credit card business. Users leverage our elegant python interface to score Capital One’s models which predict potential value. With this information, our users build the business strategy which determines which customers get approved and what card terms they receive.

The Creditflow team is part of the Card Credit Innovation team. We are a fun, diverse, cross-functional team of engineers, data scientists, and product managers. We’re passionate about creating a positive, collaborative environment where we each grow our respective skill sets. This role involves joining our developer team which follows agile, software engineering, and DevOps best practices. Our work is a good mix of smaller tasks and larger, more involved projects. Our tech stack includes Python, Conda, AWS, Jenkins, and our Python packages include numba, dask, pytest, flake, scikit-learn, xgboost, and gurobi.

Role Description

You’ll work both independently and as a pair on a wide variety of technical tasks including:

• Writing code to build new features, address bugs, and tackle tech debt
• Wrangling data
• Implementing machine learning models
• Supporting users and our platform
• Larger strategic initiatives like architecture changes

The Ideal Candidate is:

• You have experience with Python and are motivated to learn more. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. You are familiar with machine learning, can intelligently build and discuss models with a passion for engineering too
• You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
• You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
• You are a successful individual contributor, but also knows teamwork is the secret to modern software teams
• You are interested in growing into a tech lead role in the future or continuing to develop as an individual contributor - we welcome both

Basic Qualifications:

• Bachelor’s Degree plus 2 years of experience in data analytics, or Master’s Degree, or PhD
• At least 1 year of experience in open source programming languages for large scale data analysis
• At least 1 year of experience with machine learning
• At least 1 year of experience with relational databases

Preferred Qualifications:

• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
• Experience working with AWS
• At least 2 years’ experience in Python, Scala, or R
• At least 2 years’ experience with machine learning
• At least 2 years’ experience with SQL 

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.