Minimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
- 7 years of experience in analytics to solve product, business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 7 years of experience with a PhD degree.
- 7 years of experience in statistical data analysis, and managing analytical projects.
- 3 years of experience in people management within a technical leadership role.
- Experience in scientific methodologies, data analysis, and experimental design.
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About the job
The team's goal is to increase LearnX's impact and effectiveness by leveraging data science to drive key insights that influence strategy and product planning making.
As a Head of Data Science, you will play a pivotal role in identifying or prioritizing key problems, developing, and investigating key metrics, and innovating on new methodologies or tools to match the accelerating pace of innovation.
Responsibilities
- Plan proactive and strategic contributions, and influence stakeholders through effective presentations and written communication.
- Work cross-functionally with stakeholders to influence, refine, and support product strategy and iteration cycles. Analyze and optimize metrics to drive insights and help decision-making processes.
- Develop, identify, and drive adoption of best practices across product data science teams, and build metrics, data quality strategy.
- Lead a team across multiple offices, time zones and partner with the pedagogy and user research teams to identify or validate key user behaviors.
- Attract, retain, and develop talent in data science. Provide mentorship, guidance, and professional development opportunities to team members.