ELSA, Corp

Senior Data Scientist, Product & Growth Analytics

ELSA, Corp

full-time

Posted on:

Location Type: Hybrid

Location: India

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Job Level

Senior

Tech Stack

PandasPythonScikit-LearnSQL

About the role

  • We're seeking a Senior Data Scientist to drive product and growth analytics for ELSA's rapidly scaling consumer and enterprise products.
  • You'll work cross-functionally with Product, Engineering, Marketing, and Business Development teams to uncover insights that shape product strategy, optimize user experience, and accelerate growth.
  • This is a high-impact individual contributor role where your analyses will directly influence decisions affecting millions of users and multi-million dollar revenue streams.
  • Analyze user journeys from acquisition through activation, engagement, retention, and monetization.
  • Design and evaluate A/B tests for new product features, measuring impact on key metrics (retention, engagement, conversion).
  • Build cohort analyses to understand behavior patterns across user segments, geographies, and subscription tiers.
  • Identify early warning signals for churn and work with Product to build interventions.
  • Conduct deep-dives on user behavior to answer questions like: Why do users in Japan have 2x higher retention than other markets?
  • Analyze marketing channel efficiency (CAC, ROAS, payback period) across paid and organic channels.
  • Build models to improve conversion at each stage of the funnel (install → trial → paid).
  • Develop predictive models for customer lifetime value across different cohorts and acquisition channels.
  • Analyze pricing experiments, subscription tier performance, and revenue optimization opportunities.
  • Build multi-touch attribution models to understand the customer acquisition journey.
  • Build self-service dashboards and reports for Product, Growth, and Leadership teams.
  • Create reusable SQL views, dbt models, and data transformations for common analytics use cases.
  • Establish clear definitions and tracking for core KPIs (DAU, MAU, retention curves, NPS, etc.).

Requirements

  • 4-6 years of experience in data science, analytics, or related roles (product analytics, growth analytics, business intelligence)
  • Strong SQL skills - you can write complex queries with CTEs, window functions, joins, and subqueries to extract insights from large datasets
  • Python or R proficiency for data analysis, visualization, and statistical modeling (pandas, matplotlib, scikit-learn)
  • A/B Testing Expertise - you understand experimental design, statistical significance, power analysis, and common pitfalls
  • Product Analytics Experience - you've worked on consumer products and understand funnel metrics, retention curves, and cohort analysis
  • Statistical Foundation - comfortable with hypothesis testing, regression analysis, and basic predictive modeling
  • Business Acumen - you can translate technical findings into actionable recommendations for non-technical stakeholders
  • Communication Skills - you've presented insights to product managers, engineers, and leadership teams.
Benefits
  • Flexible Work Setup: Remote-first in India and a hybrid model in Vietnam to support both flexibility and collaboration.
  • Comprehensive Well-Being Benefits: A benefits package designed to support your physical, mental, and financial health.
  • Free ELSA Premium Access: Complimentary access to ELSA Premium to continuously strengthen your English communication skills.
  • Global Impact at Scale: Your analyses will directly improve the learning experience of millions of users worldwide.
  • Rich, Global Data: Work with large, diverse datasets spanning 100+ countries, multiple platforms, and varied user segments.
  • Modern Data Stack: Gain hands-on experience with tools such as Snowflake, dbt, and Amplitude while solving complex analytical problems.
  • Cross-Functional Collaboration: Partner closely with Product, Engineering, Marketing, and Business teams to drive data-informed decisions.
  • Clear Career Progression: Defined pathways to senior and specialized roles such as Staff Data Scientist, Growth Lead, or Product Analytics Lead.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data scienceanalyticsSQLPythonRA/B testingstatistical modelingcohort analysispredictive modelinghypothesis testing
Soft Skills
business acumencommunication skills