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Tier-1 brand, metro location and mid-level ML role with broad required skills increases competition.
Core ML skills are transferable but banking credit-card and P&L experience increases domain specificity.
Explicit 7+ years requirement plus mandatory ML, Python and domain expertise creates strict filters.
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Identify and implement machine learning and statistical modeling solutions to improve digital marketing and product sales for US Consumer Cards.
Lead and enhance 'Test & Learn' capabilities to rapidly design, execute, and measure digital experiments, driving revenue growth and operational efficiency.
Communicate complex technical solutions clearly to business leaders and mentor junior team members while influencing decisions across projects and geographies.
7+ years of experience in data science, machine learning, or a related field.
Strong hands-on programming skills in Python, SQL, and machine learning frameworks (scikit-learn, TensorFlow, PyTorch); experience with PySpark preferred.
Bachelor’s degree in computer science, statistics, mathematics, engineering, or related quantitative field; Master’s preferred.
Experience with digital marketing analytics and credit card business knowledge is highly beneficial.
Experienced in developing and industrializing advanced analytics and ML solutions focused on digital marketing and consumer banking domains.
Proven ability to distill business needs and articulate technical solutions to senior stakeholders with strategic acumen for growth and efficiency improvements.
Comfortable operating in large-scale, complex data environments, mentoring teams, and driving cross-functional partnerships.