Senior Data Science Manager, AI Products
New
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DropboxTech
Remote - Canada: Select locationsFull-TimeManager
Salary187,900 - 254,100 CAD per year
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Job Details
- Experience
- 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company 3+ years of experience directly managing data scientists or product analysts
- Required Skills
- Artificial IntelligenceMachine LearningProduct ManagementData scienceSaaS
Requirements
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
- 3+ years of experience directly managing data scientists or product analysts
- Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques
- Experience using data to inform product and business decisions that led to measurable outcomes
- Exceptional verbal and written communication skills
- Experience in startups or building 0→1 products
- Expertise in using data to inform AI/ML product development
- Background in SaaS product
Responsibilities
- Manage and scale a high performing team of data scientists
- Coach and mentor data scientists of varying experiences to ensure their continued growth
- Plan, execute, and deliver a profolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment
- Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
- Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
- Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
- Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
- Identify what matters most and prioritize ruthlessly
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