Bachelor's degree in Machine Learning, Data Science, Information Management, Computer Science, or other Engineering discipline, or equivalent practical experience.
15 years of experience in data science or other quantitative fields such as: statistics, machine learning, software engineering, or ML engineering.
Experience working on algorithmic products, production machine learning systems, and defining model evaluation metrics.
Experience in using data insights to drive product excellence.
Preferred qualifications:
Experience developing high-growth technology products and services.
Ability to influence without direct authority, working on and with technical and cross-functional or highly matrixed teams who do not report into this role.
Ability to turn ambiguous problem spaces into clear solutions, and comfortable with new technology and thinking outside the box to develop and implement short- and long-term creative solutions.
Ability to work well cross-functionally, and manage organizational complexities and competing priorities.
Excellent project/product management and technical architecture skills, and the ability to deliver projects on time.
Excellent strategic thinking, data science, and analytical skills.