Data Scientist, Performance Analytics - AI Optimizer

PubMatic; India (PA); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Healthcare insurance

Broadband reimbursement

Paternity/maternity leave

Catered lunches when in office

Job summary

PubMatic is seeking a Data Scientist, Performance Analytics to build performance intelligence for our advertising platform. You will analyze campaigns and platform performance, identify anomalies, and translate data into actions for Engineering, Trading, Product, and Business.

The role focuses on understanding what is happening, why, and what we should do about it, not just dashboards. We value AI-enabled thinking, experimentation, and collaboration across teams in a hybrid work environment.

Qualifications

• Bachelor’s degree in Engineering (CS/IT) or equivalent.
• Strong SQL and Python skills with large-scale data analysis experience.
• Experience with RTB, bidding, attribution, or ML-driven systems is a plus.

Responsibilities

• Analyze performance across campaigns, inventory, audiences, bidding, models, and conversions.
• Monitor and investigate CPA, CPC, CTR, VCR, ROAS, spend, delivery, and revenue.
• Proactively detect performance anomalies and optimization opportunities.
• Perform root-cause analysis across models, inventory, identity, attribution, audience, and data quality.
• Design and analyze A/B tests and experiments.
• Build reusable SQL/Python analyses, metrics, and automated diagnostics.
• Partner with Engineering and Trading to turn insights into measurable improvements.
• Convert recurring investigations into AI-assisted troubleshooting and automation.

Skills

SQL

Python

Analytical thinking

Experimentation fundamentals

Communication skills

AdTech experience

Education

Bachelor’s degree in Engineering (CS/IT)

Tools

Snowflake

Spark

Trino

Databricks

BigQuery

Job description

PubMatic is seeking a Data Scientist, Performance Analytics to build performance intelligence for our advertising platform. You will analyze campaigns and platform performance, identify anomalies, and translate data into actions for Engineering, Trading, Product, and Business.

The role focuses on understanding what is happening, why, and what we should do about it, not just dashboards. We value AI-enabled thinking, experimentation, and collaboration across teams in a hybrid work environment.