Data Scientist

Emergent
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2-5 yearsSkills: ["Experimentation","Causal inference","Data storytelling","Rapid iteration","Analytical rigor"]

Own end-to-end data-driven growth analytics for an AI agent platform, turning large volumes of unstructured signals (agent trajectories, prompts, logs, support tickets) into structured, queryable insights. Build predictive models for conversion, retention, churn, and fraud; optimize marketing attribution and MMM; and design rigorous experiments and onboarding using early behavioral indicators.

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FursaFursa
Emergent
Emergent
1 day ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live
Reposted: similar role first listed 3 weeks ago

Job Summary

Own end-to-end data-driven growth analytics for an AI agent platform, turning large volumes of unstructured signals (agent trajectories, prompts, logs, support tickets) into structured, queryable insights. Build predictive models for conversion, retention, churn, and fraud; optimize marketing attribution and MMM; and design rigorous experiments and onboarding using early behavioral indicators.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Turn agent trajectories, support tickets, logs, and prompts into structured, queryable signal using summarize-then-embed-then-cluster pipelines.
  • •Surface early indicators (confusion, bug waves, churn risk, fraud) and route them to the right teams.
  • •Build predictive models to forecast conversion, retention, expansion, and churn and integrate signals into product and growth workflows.
  • •Own marketing attribution and MMM by building media-mix and incrementality models for signups and paid conversions.
  • •Run analytics and experiments across the self-serve funnel (web and mobile), and cluster large sets of agent trajectories to create a taxonomy that predicts churn.

Pay and Benefits

Perks:Meal AllowanceFamily InsurancePaid LeaveFlexible Hours

Key Requirements

  • •2 to 5 years of data science or applied ML focused on product analytics, growth, or user behavior.
  • •Strong SQL and comfort working with large-scale, event-level behavioral data.
  • •Solid ML foundations including clustering, embeddings/vector similarity, dimensionality reduction (UMAP/PCA), and classification.
  • •Ability to derive insight from unstructured natural-language data (LLM traces, logs, tickets, free text) and familiarity with topic-modeling/trace-clustering approaches.
  • •Proficiency in Python plus the standard data-science stack (pandas, scikit-learn, statsmodels, numpy) and competence designing and shipping ETL/data models (dbt or equivalent).
Experience:2-5 yearsAILLMProduct analyticsGrowthUser behaviorFreemiumPLG
Skills:ExperimentationCausal inferenceData storytellingRapid iterationAnalytical rigor
Tech Stack:SQLPythonPandasScikit-learnStatsmodelsNumpyDbtETLK-meansHDBSCANHierarchical clusteringUMAPPCAEmbeddingsVector similarityVector searchBERTopicC-TF-IDFBigQueryPostHog

Company Brief

Emergent
Provides a platform for orchestrating autonomous AI agents and workflows, enabling teams to build, deploy, monitor, and scale agent-driven applications and automations across business processes.
Industry: AI & Machine Learning
Growth: Early Stage Startup
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