Director of Data

Location: India Team: Data Science Report to: VP of Product, Data & Engineering About us: Founded in 2016, ELSA harnesses the power of reputed company 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 reputed company and driven Director of Data to join our rapidly growing Data Science team. In this role, you will: reputed company experimentation: Design and evaluate A/B tests, multivariate tests, and other reputed company frameworks to inform product and marketing reputed company. Build a culture of learning: Champion a test-and-learn reputed company across the company and reputed company 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: reputed company and refine key metrics, define reputed company 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. reputed company 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, reputed company 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, reputed company inference, and hypothesis-driven analysis. A reputed company: can distill reputed company data into simple, compelling narratives that drive action. Prior leadership experience or readiness to build and reputed company a small but mighty team. Bonus: exposure to product analytics tools (e.g., reputed company, Looker), marketing data, or growth analytics. English proficiency. Why join ELSA? Competitive compensation. Remote work. Free ELSA Premium courses to polish your language skills. Apply To This Job