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Strong Tier-1 brand, metro location, popular mid-level data science title, and leadership requirement drive high competition.
Core data science and leadership skills are transferable, but payments/regulatory experience increases domain specificity.
Moderate filters: mandatory people-leader experience, ML lifecycle and deployment skills, and governance/compliance experience.
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Lead and develop a Data Science team, setting priorities and promoting best practices in model development and deployment.
Drive transformation from descriptive reporting to strategic, predictive analytics impacting business decisions.
Partner with business and technology teams to design, deploy, and govern scalable, explainable machine learning and statistical models that produce actionable insights.
Undergraduate degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
Proven experience leading Data Science teams with delivery of impactful analytics or machine learning solutions.
Advanced proficiency in programming languages like R or Python and experience with large datasets and modern data platforms (e.g., cloud, distributed systems).
Experience with model deployment, monitoring, lifecycle management, and compliance with data privacy and security requirements.
Experienced manager skilled at prioritizing and delivering in fast-paced, ambiguous environments while developing technical talent.
Able to translate complex analytical concepts into clear, executive-level communications and align data science initiatives with business strategy.
Strategic operator who collaborates across business and technology teams to drive analytics efficiency and continuous improvement.