Data Scientist Associate - AI/ML, Python

Job Responsibilities:

1. Leverage your knowledge and analytical skills to uncover novel use cases of Big Data analytics for the Credit Card business.
2. Support development of data science / AIML use cases for the Card business.
3. Help partners in the Card business define their business problems and scope analytical solutions.
4. Build an in-depth understanding of the Card domain and available data assets.
5. Research, design, implement, and evaluate analytical approaches and models.
6. Perform ad-hoc exploratory analyses and data mining tasks on diverse datasets.
7. Communicate findings and obstacles to stakeholders to drive delivery to market.

Required Qualifications, Capabilities, and Skills:

1. Bachelor’s degree in a relevant quantitative field required in an analytical field (e.g., Statistics, Economics, Applied Math, Operations Research, other Data Science fields).
2. 4+ years of hands-on experience with data analytics; experience evaluating complex business problems and devising recommendations.
3. Exceptional analytical, quantitative, problem-solving, and communication skills.
4. Excellent leadership, consultative partnering, and collaboration across teams.
5. Knowledge of statistical software packages (e.g., Python) and data querying languages (e.g., SQL).
6. Experience across a broad range of modern analytics tools (e.g., Snowflake, Databricks, SQL, Spark, Python).

Preferred Qualifications, Capabilities, and Skills:

1. Understanding of the key drivers within the credit card P&L is preferred.
2. Financial services background preferred, but not required.
3. Master’s degree or equivalent in an analytical field.