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Analytics & Data Science Leader

Emergent· Operations
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Hybrid (Bangalore)Full-timePosted 1mo ago

About the role

Analytics & Data Science Leader at Emergent, an AI app builder, responsible for owning the entire data and analytics function, defining metrics, building the data science team, and enabling AI-native analytics to drive product, growth, finance, and leadership decisions.

Responsibilities

  • Own the company-wide data science and analytics strategy: define the metrics framework, predictive models, north-star KPIs, and reporting cadence used by leadership, product, growth, and finance
  • Build, hire, and lead the data science and analytics team, setting the bar for rigor, speed, and self-serve enablement across the company
  • Own subscription and revenue analytics end-to-end: MRR, churn, cohort retention, LTV/CAC, conversion funnels, and usage-based billing models
  • Lead applied data science initiatives: churn and LTV prediction, propensity and conversion models, forecasting, anomaly detection, and segmentation to drive product and growth decisions
  • Architect and govern the modern data stack (BigQuery, PostgreSQL, event pipelines), partnering with engineering on data quality, schema design, and pipeline reliability
  • Establish experimentation as a discipline: design the A/B testing framework, define statistical standards and causal inference methods, and ensure proper attribution across channels
  • Deliver strategic analysis and modeling for high-stakes decisions: pricing changes, market expansion, product bets, and fundraising narratives
  • Build production dashboards, ML-powered alerting systems, and forecasting tools that leadership relies on daily, and evolve the knowledge base so teams can self-serve
  • Champion AI-native data science: deploy Claude, MCP servers, and agentic workflows to automate exploration, feature engineering, anomaly detection, query generation, and reporting at scale
  • Act as the trusted data and modeling partner to the CEO and functional leaders, translating complex analysis and models into clear, decision-ready recommendations

Qualifications

  • 12+ years in data science, analytics, or a related quantitative field, with 5+ years leading and scaling data science and analytics teams at high-growth B2C/SaaS or PLG companies
  • Deep expertise in subscription and SaaS metrics: MRR, churn, cohort analysis, LTV modeling, conversion funnels, and usage-based billing
  • Strong foundation in statistical modeling and applied machine learning: regression, classification, time-series forecasting, and propensity/uplift modeling
  • Elite SQL proficiency: you think in CTEs and window functions, understand partitioning tradeoffs, and validate results against multiple sources instinctively
  • Proven track record of building data science and analytics functions from scratch or through hypergrowth: hiring, tooling, metric and model governance, and stakeholder trust
  • Strong command of the modern data stack: BigQuery or similar warehouses, dbt, product analytics tools (PostHog, Mixpanel, Amplitude), and BI platforms
  • Experimentation depth: you've designed and governed A/B testing programs and understand statistical rigor, causal inference, identity stitching, and multi-touch attribution
  • A hypothesis-driven operator: you form a thesis, test it iteratively, build models to validate it, and revise when the data disagrees, and you've taught teams to do the same
  • Genuine conviction in AI-native workflows: you use AI assistants and agentic tools daily and have strong opinions on how they transform data science and analytics work
  • Executive-grade communication: you can walk into a board meeting or a leadership review and land a data-backed recommendation in five minutes
  • Comfort with ambiguity and evolving data infrastructure: you unblock yourself and your team without waiting for perfect pipelines

Skills

Required:Data strategy and leadershipTeam building and leadershipSubscription and SaaS analyticsStatistical modeling & MLSQL & data queryingData stack toolsExperimentation & A/B testingData visualization & dashboards
Nice to have:AI-native workflows

Benefits

  • Daily Meals: Lunch and Dinner provided
  • Family Insurance: 5 Lakhs worth of coverage for you and your family
  • Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed
  • Flexible Working Hours: Work arrangements that fit your life and commitments
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Emergent

Build apps with AI - think it, describe it, ship it

Emergent is the AI coding platform builders use to create production-ready software. Describe what you want in the chat, and our coding agents handle everything else: frontend design, database architecture, backend logic, authentication, payments, deployment, and automatic scaling. We've grown to 700,000+ users and $10M ARR in just 2 months because we solved the real problem: the best software comes from people who understand the problems.

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