数据总监
Director of Data
地点：印度
团队：数据科学
汇报对象：产品、数据与工程副总裁
关于我们：
成立于2016年，ELSA利用生成式AI的力量，通过位于旧金山的总部以及里斯本、东京、雅加达、新加坡和越南的办事处，提升全球英语沟通技能。我们拥有超过5000万用户和10亿小时的匿名数据，我们的AI驱动的语言学习平台为个人和企业提供了高度个性化的学习路径，通过有效的英语口语改变生活和组织。ELSA得到了包括Gradient Ventures——谷歌的人工智能基金、Monk's Hill Ventures和Global Ventures在内的领先投资者的支持。
职位与职责：
我们正在寻找一位经验丰富的数据总监加入我们快速发展的数据科学团队。在此职位中，您将：
- 领导实验：设计并评估A/B测试、多变量测试和其他因果框架，以支持产品和营销决策。
- 建立学习文化：在公司内部推广测试与学习的思维模式，使其他人能够提出假设并快速迭代。
- 跨职能合作：与产品、市场、B2B、财务、增长和工程团队紧密协作，明确问题、优先分析并提供清晰、可操作的见解。
- 主导数据驱动决策：开发和优化关键指标，定义成功标准，并揭示权衡点。
- 提供洞察：深入分析用户行为、转化漏斗、留存率、定价和功能采用情况。同时，向业务部门提供关于管道趋势、学习者行为等方面的洞察。
- 实现规模化：与数据流水线紧密合作，定义实验框架，并为分析基础设施做出贡献。
- 要求：
- 5-8年以上数据科学、决策科学或分析相关工作经验，最好在消费科技和SaaS领域。
- 在大规模实验（A/B测试、贝叶斯方法、提升建模等）方面有实际经验。
- 精通SQL和Python（或R）；熟悉数据建模和可视化（如dbt、Looker、Mode、Tableau）。
- 深入理解统计学、因果推断和假设驱动分析。
- 具备讲故事的能力：能将复杂的数据提炼成简单而有说服力的叙述，推动行动。
- 有领导经验或准备建立并带领一个小型但高效的团队。
- 附加优势：熟悉产品分析工具（如Amplitude、Looker）、市场分析等。
查看英文原文
Location: India
Team: Data Science
Report to: VP of Product, Data & Engineering
About us:
Founded in 2016, ELSA harnesses the power of generative AI to improve English communication skills globally with headquarters in San Francisco and offices in Lisbon, Tokyo, Jakarta, Singapore and Vietnam. With over 50 million users and 1 billion hours of anonymized data, our AI-driven language learning platform delivers hyper-personalized learning paths for both businesses and individuals, transforming lives and organizations through effective spoken English. ELSA is backed by leading investors including Gradient Ventures - Googles A.I. fund, Monk's Hill Ventures and Global Ventures.
Role & Responsibility:
We are seeking a highly experienced and driven Director of Data to join our rapidly growing Data Science team. In this role, you will:
- Lead experimentation: Design and evaluate A/B tests, multivariate tests, and other causal frameworks to inform product and marketing decisions.
- Build a culture of learning: Champion a test-and-learn mindset across the company and enable others to generate hypotheses and iterate rapidly.
- Partner cross-functionally: Collaborate closely with Product, Marketing, B2B, Finance, Growth, and Engineering to frame questions, prioritize analysis, and deliver clear, actionable insights.
- Own data-driven decision-making: Develop and refine key metrics, define success criteria, and surface tradeoffs.
- Deliver insights: Conduct deep dives on user behavior, funnel conversion, retention, pricing, and feature adoption. Also, inform the business on insights for pipeline trends, learner behavior etc.
- Enable scale: Work hands-on with data pipelines, define experimentation frameworks, and contribute to analytics infrastructure.
Requirements:
- 5-8+ years of experience in Data Science, Decision Science, or Analytics roles, ideally in consumer tech and SaaS.
- Proven experience running and analyzing experiments at scale (A/B testing, Bayesian methods, uplift modeling, etc.).
- Strong SQL and Python (or R) skills; comfort with data modeling and visualization (e.g., dbt, Looker, Mode, Tableau).
- Deep understanding of statistics, causal inference, and hypothesis-driven analysis.
- A storyteller: can distill complex data into simple, compelling narratives that drive action.
- Prior leadership experience or readiness to build and lead a small but mighty team.
- Bonus: exposure to product analytics tools (e.g., Amplitude, Looker), marketing data, or growth analytics.
- English proficiency.
Why join ELSA?
- Competitive compensation.
- Remote work.
- Free ELSA Premium courses to polish your language skills.
Originally posted on Himalayas