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Senior Data Economist
2 months ago
Cambly is a pioneering English language learning platform that connects students and tutors in a seamless, conversational experience. Our mission is to revolutionize language acquisition by harnessing the power of conversation.
We're seeking a highly skilled data thought leader to spearhead our analytics and modeling efforts. As a key member of our data organization, you'll be responsible for developing and implementing data-driven strategies to optimize our subscription business. This includes constructing methods to optimize package and pricing structures, forecasting subscriber growth and value, and building key financial metrics.
Key Responsibilities- Develop and maintain advanced analytics and modeling capabilities to inform business decisions.
- Design and implement data pipelines to support business intelligence and reporting.
- Collaborate with cross-functional teams to drive data-driven strategies and initiatives.
- Stay up-to-date with industry trends and best practices in data science and analytics.
- 4+ years of industry experience in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
- Proven expertise in machine learning and forecasting techniques, with a deep understanding of ML lifecycle best practices.
- Experience designing and building metrics, from conception to data pipeline implementation.
- Strong programming skills in Python or R, with expertise in SQL.
- Excellent communication and collaboration skills, with the ability to present complex data insights to non-technical stakeholders.
- 8+ years of relevant industry experience.
- Experience building ML applications for Finance.
- Experience with setting up experiments and/or utilizing non-experimental causal inference methods like regression analysis to inform business decisions.
- A dynamic, inclusive work environment with a strong focus on diversity and equity.
- A competitive compensation package, including a base salary range of $160,000 - $190,000 USD and pre-IPO stock options.
- A comprehensive benefits package, including medical, dental, and vision coverage, 401(k) matching, and paid time off.
- Opportunities for professional growth and development, including training and mentorship programs.
