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Job Description
Structured overview of role & requirementsAbout This Role
Analyze and interpret complex, large-scale card data sets using advanced analytics and machine learning to support fraud, rewards misuse prevention, and operational reporting.
Develop and implement automation and monitoring strategies for processes including text classification and model recalibration to improve departmental efficiency.
Lead cross-functional collaboration to define metrics delivery, present data insights to technical and senior non-technical audiences, and make strategic decisions impacting business outcomes.
Minimum Requirements
3+ years of experience in data science, advanced analytics, or a related quantitative role.
Proficiency in Python (pandas, NumPy, scikit-learn), advanced SQL on cloud platforms (Snowflake, Databricks, BigQuery, Redshift, or similar), and data visualization tools (Tableau, Power BI, or Looker).
Experience in machine learning methods including classification, anomaly detection, clustering, and strong judgment in model governance.
Work Experience Required: 3+ years in data science/analytics.
Ideal Candidate Profile
Experienced in coordinating cross-functional teams to translate complex analytics into actionable business strategies and reporting for senior leaders.
Skilled in hands-on machine learning model development with strong strategic thinking about model accuracy, explainability, and governance.
Capable of coaching team members and managing technical delivery lifecycle including version control, model evaluation, and operational deployment in regulated environments.