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Director of Data

ELSA Speak · Ghar se kaam
SeniorGhar se kaam
PagaarPagaar nahi likha
KahanGhar se kaam
TypeFull timeDirector
Posted7 Oct6 din pehle, Himalayas se
Kaam ne check kiya
Fee, deposit ya paise maangne ke nishaan nahi
Achhi English chahiye, bolne aur likhne mein
Din ka kaam
Gaadi ya licence nahi chahiye
Jo skills maange hain12 likhe hain
Director Of DataDirector Of Data ScienceAnalytics DirectorHead Of DataDirector Of AnalyticsDirector Of Data AnalyticsDirector Of Data And AnalyticsDirector Of Data And AIData Analytics DirectorData Operations DirectorData Management DirectorDirector Of Data and Insights
Is job ke baare mein
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

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