Director of Data at ELSA

New Delhi, delhi, India -

Full Time

Start Date

Immediate

Expiry Date

26 Sep, 26

Salary

0.0

Posted On

28 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

A/B Testing, SQL, Python, R, Data Modeling, Data Visualization, Causal Inference, Hypothesis Testing, Product Analytics, Decision Science, Leadership, Storytelling

Industry

E-Learning Providers

Description

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.

Responsibilities

Lead experimentation and data-driven decision-making to inform product and marketing strategies. Collaborate cross-functionally to deliver actionable insights on user behavior, retention, and funnel conversion.