Responsibilities:
- Partner closely with multiple stakeholders, including the executive team, marketing, partnerships, strategy, product, and customer success, to understand business needs and surface insights and learnings that address them
- Develop statistical analyses and build and deploy machine learning models to understand and predict customer behavior and product performance
- Create, report, and interpret key metrics to assess performance, measure the impact of strategic initiatives, and identify ways to grow revenue and reduce costs
- Support A/B and multivariate testing
- Create informative and actionable dashboards and visualizations
- Communicate results to technical and non-technical stakeholders
- Identify actionable insights that positively affect both company revenue and learning outcomes for children
- Build personalization features to customers
- Mentor others across the company on Data Science best practices, tools, and techniques
Required Qualifications:
- 8+ years in a data-intensive role
- Master’s degree in a quantitative field (Ph.D. preferred)
- Experience in an analytical or product-focused role within large-scale, successful free-to-play (F2P) digital products. Background in gaming or educational apps is a plus.
- Proven experience with analytical, statistical, and machine learning methods
- Experience productionalizing models
- Proficiency in SQL and Python
- Excellent written and verbal communication skills
- Proven ability to explain technical concepts to non-technical stakeholders
- Curious, motivated, self-starter, collaborative, team player
- Passionate about high-quality, insightful data analysis
- Experience mentoring others
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