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Silicon Valley Bank is the market leader in providing financial solutions to the world's most innovative companies, leaders and investors. Our clients are the game changers fueling the global innovation economy and transforming the way we live and work. SVB has been an incredible growth story over the last 35+ years and continues to grow and expand internationally. Come join a growing, global commercial bank at the heart of the innovation economy where you will be able to help bring our clients' world-changing ideas to life.
The role: as a Data Scientist in Machine Learning and Predictive Analytics with the Enterprise Business Analytics team, you will be a key contributor to the company's implementation of leading-edge machine learning technologies. You will make a direct impact on the client experience, delivering the most innovative predictive analytic products to help SVB understand and improve our clients' SVB experience and increase their probability of success as entrepreneurs:
Design machine learning solutions enabling our business partners to better understand and improve our clients' experience
Create and deliver clear, compelling presentations to business partners that demonstrate the power of your analytic solutions
Look for opportunities to enhance our current analytical capabilities and develop new analytics products
3-5 years of proven experience as a machine learning engineer or similar role
Demonstrated experience bringing a system or solution to implementation by using machine learning techniques such as deep learning, adaptive learning, reinforcement learning, anomaly detection and/or optimization
Python expertise and accomplished with SQL although mastery with R, Scala, Julia, or SAS can be considered
Strong communication skills to collaborate effectively with business partners across the company
Bachelor/master's in computer science, mathematics, quantitative economics, statistics or operations research
Experience and/or education in financial services and in particular commercial banking
Familiar with techniques of deep learning and its applications
Experienced in data visualization tools such as Tableau