Data Science Senior Associate - Card Data & Analytics team
On-site · Wilmington, Delaware, United States
Job Summary
Data Science Senior Associate on Card Data & Analytics drives AI/ML initiatives for the Credit Card business, partnering with stakeholders to define problems, scope analytical solutions, and deliver high-quality analytical models. Responsibilities include leveraging Big Data analytics, GenAI-based methods, developing analytical strategies and products, modeling, data mining, communicating findings to stakeholders, and collaborating across teams. Requires strong programming and analytical skills, experience with Python/R/SAS, SQL, and GenAI fundamentals. Preferred emphasis on LLM-enabled applications and credit-card P&L understanding.
Required Qualifications
- Bachelor’s degree in a relevant quantitative field and 3+ years of data analytics experience, or advanced degree and 2+ years of experience
- Exceptional analytical, quantitative, problem-solving, and communication skills
- Intellectual curiosity for solving business problems
- Leadership and collaboration skills
- Knowledge of statistical software (e.g., Python, R, SAS) and data querying languages (e.g., SQL)
- Familiarity with GenAI and prompt engineering basics (prompt design, evaluation, guardrails)
- Experience with modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx)
- Ability to convey complex information to technical and non-technical audiences
- Preferred Qualifications, Capabilities, and Skills: Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM quality, cost, and latency
- Understanding of key drivers within the credit card P&L
- Financial services background preferred
- M.S. degree or equivalent
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