Manager - Measurement Analytics & Decision Science, GCS

Jiostar; Mumbai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

JioStar is seeking a data science professional to work on the measurement stack, including attribution modeling, incrementality testing, and data infrastructure supporting advertiser outcomes.

You will collaborate with GTM/partnerships to translate models into market-ready insights, ensuring rigor and auditability across pipelines and dashboards used by leadership and advertisers.

Qualifications

• 4–6 years in data science, analytics or measurement/attribution roles.
• Strong SQL and Python for data manipulation, analysis, and modeling.
• Solid grounding in statistical and ML techniques, with judgment to choose methods.
• Experience building visualizations and automated dashboards in Databricks, Looker, or Data Studio.
• Ability to present complex technical findings clearly to leadership and non-technical stakeholders.
• Bachelor's or Master’s degree in a quantitative field.

Responsibilities

• Deep-dive analysis & problem-solving: investigate measurement gaps and drive resolution.
• Model building: attribution, incrementality, and optimization models using regression techniques.
• Experimentation infrastructure: design and run holdout experiments with proper randomization.
• Engineering collaboration: work with Engineering to productionize models and data pipelines.
• Data quality & governance: maintain data quality standards across pipelines and outputs.
• Reporting infrastructure & automation: build pipelines and BI dashboards to unify metrics.
• Cross-functional & leadership engagement: present findings to senior leadership and stakeholders.

Skills

SQL

Python

Statistics/ML

Visualization

Leadership presentation

Education

Bachelor's or Master's in quantitative field

Tools

Databricks

Looker Studio

Data Studio

Job description

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

Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.

JioStar India Private Limited (formerly known as Star India Private Limited) is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.