Head of Data Science

Summary

Join Shift Technology as the Head of Data Science for North America and lead a team of highly skilled data scientists. You will leverage AI and machine learning to support customers and Shift’s product vision, collaborating with leaders across the company. Responsibilities include developing and empowering the data science team, building strong client relationships, driving continuous improvement, establishing best practices, and managing the lifecycle of data science projects. The ideal candidate will have a proven track record of leadership in data science, strong business acumen, excellent communication skills, and an advanced degree in a related field. Shift Technology offers a competitive total rewards and benefits package, including flexible remote work options, competitive salary, company equity, generous PTO, and mental health benefits.

Requirements

• Proven track record of leadership and managing resources (teams of 35+ with 6+ direct reports) in a matrix environment within various geos in data science, analytics, or engineering, including experience delivering impactful projects
• Strong business acumen and the ability to translate technical findings into actionable business insights and recommendations
• Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to both technical and non-technical audiences
• Demonstrated ability to thrive in a fast-paced, dynamic environment and to lead and motivate teams to achieve ambitious goals
• Advanced degree (Master’s or PhD) in computer science, statistics, mathematics, or a related field

Responsibilities

• Develop, coach and empower a team of highly skilled Data Scientists based in the US, Canada, Brazil, and Mexico with a focus on innovation and collaboration, and with a #MakeItHappen approach
• Coordinate and collaborate with leaders from across Shift to align strategy, priorities, matrixed resources, and execution across the regional portfolio (internal partners include Delivery, Customer Success, Sales and Solutions Consulting, Product, Engineering, Legal)
• Develop and maintain strong relationships with key client stakeholders, understanding their needs, and providing business and technical insights to leadership regarding product development, fit, strategy, and vision
• Drive continuous improvement initiatives to enhance the data science team’s impact and scalability
• Establish best practices and standards for data management, analysis, and model development to ensure consistency and reproducibility
• Manage the end-to-end lifecycle of data science projects and client deployments, from problem definition to implementation, and production monitoring
• Participate in meetings and demonstrations with clients on value creation topics

Benefits

• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance
• Company equity
• Focus Fridays, a half-day each month to focus on learning and personal growth
• Generous PTO and paid holidays
• Mental health benefits
• 2 MAD Days per year (Make A Difference Days for paid volunteering)