Applied AI/ML Modeling - Vice President

What you'll do

• Develop and launch models for lead scoring, customer prioritization, next-best actions and offers, retention, and cross-selling.
• Lead modeling work end to end, from use-case scoping and success metrics to analysis of complex datasets and testing hypotheses.
• Explain model recommendations to non-technical partners and work with governance, risk, and controls teams on reviews, documentation, monitoring, and compliance.

What they ask for

• Master’s or Ph.D. in a quantitative discipline or related field.
• 5+ years of relevant industry experience developing and deploying production AI/ML models, including statistical modeling and modern machine learning.
• Proficiency in Python and hands-on experience with ML/deep learning frameworks and core libraries; working knowledge of notebooks and cloud-based development/compute.
• Deep expertise in at least one specified modeling area and meaningful exposure to another; ability to communicate complex concepts to non-technical stakeholders and drive decisions.

Nice to have

• Ph.D. in a relevant discipline; experience building advanced models in consumer finance, fintech, retail, marketplaces, or other high-scale customer engagement environments.
• Experience with decisioning, online learning, ranking/recommendation, causal inference, or experimentation tools; behavioral science; Databricks, Snowflake, or similar platforms; or practical MLOps.

Pay

USD 171,000.00-$260,000.00 base salary (New York, NY); USD 128,250.00-$225,000.00 base salary (Columbus, OH)

Tools

Python, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas, Databricks, Snowflake

AI focus

Develop and deploy AI/ML models for banker sales effectiveness and customer outcomes, using methods including deep learning, causal inference, contextual bandits, reinforcement learning, and constrained optimization.