Manager Measurement Analytics & Decision Science, Digital

About the role

This role works on the technical core of JioHotstars measurement stack - attribution modeling incrementality testing and the data infrastructure that proves advertiser outcomes. Youll 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 theyre 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

• Bachelors or Masters degree in a quantitative field such as Statistics Economics Engineering Computer Science Mathematics or a related discipline