Manager - Measurement Analytics & Decision Science, GCS

About the role

This role works on the technical core of JioHotstar's measurement stack - attribution modeling, incrementality testing, and the data infrastructure that proves advertiser outcomes. You'll work closely with the GTM/partnerships team who takes your models and findings to market; you own the rigor, the build, and the numbers that hold up under leadership and advertiser scrutiny.

Key Responsibilities

• Deep-dive analysis & problem-solving: Investigate measurement gaps and discrepancies, dig into raw data, and independently drive issues to resolution before they're flagged by others

• Model building: Build and maintain attribution, incrementality, and optimization models (e.g., ML-based CPI/install optimization) using statistical and ML techniques such as linear and logistic regression

• Experimentation infrastructure: Design and run holdout/test-control experiments, ensuring correct randomization and experimental integrity

• Engineering collaboration: Work with Engineering and Data Platform teams to productionize models, manage data pipelines, and enable privacy-safe data collaboration

• Data quality & governance: Establish and maintain data quality standards across measurement pipelines - flag and resolve inconsistencies before they reach leadership or advertiser-facing outputs, and ensure attribution/incrementality data remains accurate and audit-ready

• Reporting infrastructure & automation: Build and maintain reporting pipelines integrating internal systems, APIs, databases, and Google Sheets into BI platforms (e.g., Looker Studio); establish a single source of truth for business metrics

• Cross-functional & leadership engagement: Partner with Product and GTM/Strategy to translate technical findings into leadership - and advertiser-ready proof points; present directly to senior leadership and defend methodology under scrutiny

Required Skills & Experience

• 4-6 years in data science, analytics, or measurement/attribution roles, ideally within ad-tech, martech, or a platform/marketplace environment

• Strong coding proficiency in SQL and Python for data manipulation, analysis, and modeling

• Solid grounding in statistical and ML techniques (linear regression, logistic regression, and related methods), with the judgment to choose the right method for the problem

• Experience building visualizations and automated executive dashboards in tools like Databricks, Looker, or Data Studio

• A demonstrated solution mindset with strong analytical rigor, comfortable being questioned on methodology and numbers

• Ability to present complex technical findings clearly and confidently to leadership and non-technical stakeholders

• Bachelor's or Master's degree in a quantitative field such as Statistics, Economics, Engineering, Computer Science, Mathematics, or a related discipline