Company Overview
Our client is a US banking institue with a global reach, best known for its credit cards, but it also offers a full range of banking products—including savings and checking accounts, auto loans, and business banking. They’re a major player in both consumer and commercial finance, and what sets them apart is their heavy investment in tech leaning hard into data, AI, and cloud computing to make banking smarter, faster, and more user-friendly.
About the Role
We’re looking for a data scientist to help shape smarter financial tools at scale. You’ll work with large, complex datasets and apply advanced machine learning techniques to improve the way customers interact with their finances. Your models will power real-world decisions that aim to reduce financial stress and increase efficiency for everyday users.
About the Team
You'll join the customer management analytics team focused on building intelligent, automated systems that guide key decisions for existing users. You'll partner closely with engineers, analysts, and product teams — to bring ideas from concept to production. The team owns every stage of the model lifecycle, from development to deployment, ongoing maintenance, and compliance. A big focus of our current work is streamlining models with fewer manual inputs, increasing both scalability and ease of use.
What You’ll Do
- Collaborate with engineers, analysts, and product managers to build tools people actually want to use
- Work with a tech stack that includes Python, Spark, AWS, and open-source libraries to analyze large-scale data
- Develop, test, and deploy machine learning models that influence business outcomes
- Communicate complex ideas clearly to people who aren’t data scientists
What We’re Looking For
You might be a fit if you:
- Enjoy solving loosely defined problems and aren't afraid to suggest new approaches
- Keep up with the latest trends in data science and are eager to apply them
- Have a solid foundation in statistical modeling and machine learning
- Can translate technical findings into actionable business insights
- Have experience with programming languages like Python, R, or Scala, and are familiar with SQL
- Know your way around cloud platforms (AWS experience is a bonus)
Qualifications
Minimum:
- A Bachelor’s degree in a quantitative field (math, statistics, computer science, etc.) with at least 2 years of analytics experience
- OR
- A Master’s degree in a related field or an MBA with a strong quantitative background
Preferred:
- Master’s or PhD in a STEM field
- Experience working in cloud environments, especially AWS
- 2+ years of hands-on experience with Python, R, or Scala
- Background in building and deploying machine learning models
- Familiarity with SQL and data pipeline tools
Sponsorship for employment authorization may be available for qualified candidates.
