Senior Vice President of Data Science - Remote

Overview

The SVP of Data Science is a strategic leader responsible for driving the vision, execution, and evolution of the company's data science initiatives, overseeing a multidisciplinary team and collaborating across departments to leverage data-driven insights for innovation and operational excellence.

In Short

• Develop and implement a comprehensive data science strategy.
• Serve as a thought leader in AI and machine learning applications.
• Collaborate with executive leadership for data integration.
• Lead and mentor a team of data scientists and analysts.
• Oversee the delivery of data science projects.
• Implement best practices for model development.
• Establish data governance frameworks.
• Partner with cross-functional teams for data initiatives.
• Lead the development of innovative measurement methodologies.
• Stay updated on emerging technologies in data science.

Requirements

• Master’s or Ph.D. in Data Science or related field.
• 15+ years of experience in data science, with 5 years in leadership.
• Proven success in building high-performing teams.
• Strong understanding of machine learning and statistical modeling.
• Excellent communication and leadership skills.

Benefits

• Competitive salary and equity options.
• Flexible and hybrid workplace policy.
• Opportunities for professional growth.
• Participation in equity plan for full-time employees.
• Market-informed compensation packages.