Data Scientist, Performance Analytics

PubMatic; Pune District; Hybrid; INR 1,500,000 - 2,200,000; Full time

Benefits offered by this job

parental leave

healthcare insurance

broadband reimbursement

snacks

catered lunches

Job summary

PubMatic is seeking a Data Scientist in Performance Analytics within Engineering to build performance intelligence for our advertising platform. You will analyze campaign and platform performance, identify anomalies, perform root-cause analysis, and translate data into actionable insights for Engineering, Trading, Product, and Business teams.

You will design A/B tests, create reusable SQL/Python analyses, and partner with multiple teams to drive better outcomes.

Qualifications

• Strong SQL and Python skills.
• Experience with large-scale datasets.
• Knowledge of data technologies (Snowflake, Spark, Trino, Databricks, BigQuery).
• Understanding of data pipelines and data quality.
• Excellent problem-solving and communication skills.

Responsibilities

• Analyze performance metrics (CPA, CPC, CTR, VCR, ROAS, spend, delivery, revenue).
• Detect anomalies and perform root-cause analysis.
• Design and run A/B tests.
• Build reusable SQL/Python analyses.
• Partner with Engineering, Trading, Product, and Business teams to improve outcomes.
• Automate investigations with AI.

Skills

SQL

Python

Large-scale datasets

Data pipelines

Communication skills

Problem solving

Education

Bachelor's in Engineering (CS/IT)

Advanced degree a plus

Tools

Snowflake

Spark

Trino

Databricks

BigQuery

Job description

Role: Data Scientist, Performance Analytics within Engineering to build performance intelligence for advertising platform. Analyze campaign and platform performance, identify anomalies and opportunities, investigate root causes, translate data into actions for Engineering, Trading, Product, and Business. Focus on understanding performance and recommending actions, not just reporting.

Responsibilities

• analyzing performance metrics (CPA, CPC, CTR, VCR, ROAS, spend, delivery, revenue)
• detecting anomalies
• root-cause analysis
• designing A/B tests
• building reusable SQL/Python analyses
• partnering with teams to improve outcomes
• automating investigations with AI

Requirements

• Strong SQL and Python skills
• experience with large-scale datasets
• knowledge of Snowflake, Spark, Trino, Databricks, or BigQuery
• understanding of data pipelines and quality
• problem-solving and communication skills
• Bachelor's degree in Engineering (CS/IT) or equivalent required; advanced degree a plus

Preferred Experience

• AdTech
• marketplaces
• recommendation systems
• RTB
• bidding
• attribution
• campaign optimization
• ML-driven systems

Work model

Work model is hybrid (3 days in office, 2 days remote).

Benefits

• parental leave
• healthcare insurance
• broadband reimbursement
• snacks
• catered lunches