Salary
💰 $149,600 - $227,700 per year
About the role
- Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive AI/ML capabilities’ long-term growth
- Leverage data-driven insights to proactively identify most impactful opportunities and directly influence product roadmaps and strategies
- Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features
- Propose hypotheses, and design & execute experiments with great rigor and efficient data techniques
- Translate complex data insights into implications and recommendations for the business via excellent communication skills
- Identify what matters most and prioritize ruthlessly for the area you will own
- Contribute to a culture of strong technical ownership and partner with DS leadership to evolve the DS working model and elevate impact
- Work with cross-functional teams (Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
Requirements
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 8+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
- Proven track record of being able to work independently, drive measurable business impact, and proactively engage with business stakeholders with minimal direction
- Proficiency in SQL, Python or other programming/scripting languages
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
- Ability to provide data insights and recommendations for 0→1 product even when sample size is small
- Strong verbal and written communication skills