Full-Time Senior Data Scientist

• Combine data sources and apply multiple data and algorithmic approaches to create a clear, cohesive, static and temporal picture of banking customers, actionable for both humans and algorithms.
• Collaborate with business partners to develop meaningful segments to target and optimize consumer interactions based on shared preferences and behaviors.
• Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities.
• Create well-organized datasets and data processing, algorithm implementations and recommended visualizations that can support implementation in our platform software and documentation, feature and functionality descriptions and customer engagement as needed
• Proactively explore available data to size and project opportunities to improve our products, services or client and consumer experience.

• You have 5+ years experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications.
• You have independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models.
• You can demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, neural networks and deep learning techniques. Experience in reinforcement learning and multi-armed bandit applications is highly preferred.
• You have a strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting.
• You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers.
• You possess strong interpersonal skills and an ability to influence others around you towards data-driven business goals.
• You can quickly pivot and act with agility as dictated by the needs of the business.
• You hold an advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline

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