Data Scientist (AI)

Location: Bengaluru, India

Company

hirify.global builds autonomous coding agents that generate, test, and deploy production applications from plain-language intent.

What you will do

• Transform agent trajectories, support tickets, logs, and user prompts into structured, queryable signals through LLM summarization, embedding, clustering, and classification pipelines.
• Identify early indicators of confusion, bugs, churn, fraud, and abuse, and route actionable signals to the appropriate teams.
• Build predictive models for conversion, retention, expansion, and churn, and integrate those signals into product and growth workflows.
• Own product and growth analytics across web and mobile funnels, including activation, engagement, retention, conversion, A/B testing, and growth experiments.
• Develop marketing attribution, media-mix, incrementality, and gross-margin models covering acquisition performance and LLM and compute costs.
• Discover behavioral and failure taxonomies from large volumes of agent trajectories and use them to improve onboarding, pricing, retention, and fraud decisions.

Requirements

• 2–5 years of experience in data science or applied ML focused on product analytics, growth, or user behavior.
• Strong SQL skills and experience working with large event-level behavioral datasets.
• Solid foundations in classical ML, including clustering, embeddings, vector similarity, dimensionality reduction, and classification.
• Proficiency in Python and the data-science stack, including pandas, scikit-learn, statsmodels, and numpy.
• Experience deriving predictive and queryable signals from unstructured natural-language data such as LLM traces, logs, tickets, and free text.
• Ability to design and ship ETL and data models with dbt or an equivalent tool, and to design and analyze experiments using power analysis, causal methods, and significance testing.

Nice to have

• Experience with marketing mix modeling, media attribution, incrementality, or geo-testing.
• Experience at a PLG company with a self-serve, freemium, usage-based, or credit-based pricing model.
• Experience with BigQuery, dbt, PostHog, Amplitude, Mixpanel, or Segment.
• Background in causal inference, fraud and abuse analytics, embedding models, vector search, or AI product COGS modeling.
• Experience building AI-powered analytical tooling or novel measurement approaches.

Culture & Benefits

• Lunch and dinner provided daily.
• Family insurance coverage of 3 lakhs.
• Unlimited paid time off.
• Flexible working hours.
• High-ownership environment focused on speed, rigorous analysis, and impact at global scale.