Hiring: Senior Data Scientist (Personalization & Search) – Mirchi

Data Scientist (Personalization & Search) | Mirchi (Radio Mirchi)

Radio Mirchi is transitioning from a traditional radio broadcaster to a global, city-centric infotainment giant. To power this digital evolution, they are hiring a Senior Data Scientist (7+ years) to lead the “Intelligence Layer” of their digital platforms. This role is focused on the core pillars of modern content consumption: making sure every user finds the right song, podcast, or video at the right time.

You will be responsible for the algorithms that decide what plays next and how users search through Mirchi’s massive library of original content and multimedia solutions.

🟢 Role Overview & Impact

This is a senior-level position where your models directly dictate user engagement and revenue.

• Personalization Engine: Build the hybrid recommendation models (Collaborative Filtering + Content-based) that drive “Discovery” and increase average session time.

• Search & Ranking Excellence: Move beyond keyword matching to Semantic Search. You will optimize vector search and embeddings to ensure high “Search-to-Play” conversion rates.

• User Economics (LTV & Churn): Develop predictive models to identify “at-risk” users and calculate Lifetime Value (LTV), allowing the marketing team to intervene before a user drops off.

• Experimentation Culture: Lead the A/B testing framework. You won’t just build models; you will prove their impact on business KPIs through rigorous multivariate testing.

• Scalable ML Pipelines: Partner with the engineering team to move models from Jupyter notebooks into production using MLOps best practices and large-scale tools like Spark and BigQuery.

📊 Compensation & Role Benchmarks (2026)

Based on 2026 market data for Senior Data Science roles in the Indian Media & Tech space:

🎯 Required Technical Skills

• Recommendation Systems: Deep understanding of real-time and batch pipelines for content discovery.

• Search Ranking: Hands-on experience with Elasticsearch, embeddings, and query intent detection.

• Advanced Analytics: Expertise in feature engineering, cohort management, and conversion propensity modeling.

• Big Data Tools: Proficiency in handling massive datasets using SQL and distributed computing.

• MLOps: Familiarity with deploying, monitoring, and iterating on production-grade models.