The company is seeking to accelerate product growth through world-class experimentation, analysis, and data-informed strategy.
Requirements
- Proven expertise in data science, with a strong background in statistical analysis and machine learning.
- Strong programming skills in Python & SQL, or other relevant languages.
- Experience with data visualization tools and techniques.
Responsibilities
- Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics.
- Design, plan, execute, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes.
- Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and inform decision-making.
- Create compelling data visualizations and narratives to effectively communicate insights and recommendations to cross-functional partners, stakeholders, and senior leadership.
- Lead and execute large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact.
- Partner closely with Product, Engineering, Operations, and other cross-functional teams to integrate data-driven decision-making into product and business processes.
- Mentor other data scientists, contribute to best practices, and help foster a data-informed culture across the organization.
Other
- Outstanding problem-solving skills and the ability to think critically and creatively.
- Ability to successfully implement projects and compete in a fast-paced environment.
- PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 5-10 years of experience developing and deploying predictive models.
- 100% paid health insurance for employees with 90% coverage for dependents
- Annual lifestyle wallet for personal wellness, learning and development, and more!
- Lifetime maximum benefit for family forming and fertility benefits
- Dedicated mental health support for employees and eligible dependents
- Generous time away including company holidays, paid time off, sick time, parental leave, and more!
- Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
