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Strong employer brand, metro location, mid-level generalist ML role with 5-8 years increases competition.
Role requires financial-services domain experience and specific ML expertise, limiting cross-industry transferability.
Explicit 5-8 years, finance domain experience, plus mandatory Python/PySpark and ML skills enforce strict filters.
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Drive development and implementation of machine learning models for personalization, cross-sell, acquisition, retention, and risk modeling.
Manage and mentor a team of data scientists and analysts; act as SME on data structures and mining within Central Analytics.
Ensure data accuracy and manage data pipelines including collaboration with external data providers and IT for data integration and quality.
Bachelor's/Master's degree in Mathematics, Statistics, Engineering, or quantitative disciplines.
5-8 years of experience in data analysis or business analysis within financial services.
Working knowledge of SQL and Python/PySpark; extensive experience handling large and complex datasets.
Experience in building and managing teams of data scientists and analysts.
Experienced leader capable of managing cross-functional teams and mentoring data science professionals.
Strong technical expertise in machine learning algorithms including regression, decision trees, neural networks, clustering, and NLP.
Practical understanding of data governance and campaign data flow processes in a fintech or financial services environment.