Job Details

Job Title: Senior Data Scientist – Advertising & Insights
Location: Remote (PST preferred; must have overlap with Eastern and Pacific Time Zones)
Employment Type: W2 Contract Only
Pay Rate: $61/hour
Duration: 5 Months (Strong likelihood of extension)
Work Hours: 40 hours/week

TPG is hiring a Senior Data Scientist to join a high-impact Ads Data Science team within a fast-scaling digital media and advertising technology environment. This team is focused on optimizing the ad experience and maximizing platform performance through robust data infrastructure, experimentation, and machine learning innovation.

This role is ideal for a data scientist with a passion for solving complex ad tech challenges—ranging from auction optimization and targeting to performance measurement and anomaly detection. You'll work with product, engineering, and business stakeholders to drive strategic improvements in ad delivery and advertiser experience.

Key Responsibilities

• Design and apply data science solutions to improve ad platform performance and advertiser outcomes
• Analyze large-scale datasets to uncover insights, trends, and strategic opportunities
• Build self-service data assets and dashboards for product and engineering teams
• Lead deep dives into topline metrics to support decision-making and guide product roadmaps
• Collaborate across functions to define product requirements and translate them into DS models
• Develop ML-based systems for anomaly detection, forecasting, and pattern recognition
• Drive continuous improvement through causal inference, A/B testing, and experimentation
• Communicate data insights and model recommendations to technical and non-technical stakeholders

Required Qualifications

• MS or PhD in Computer Science, Statistics, Mathematics, or related quantitative field
• 5+ years of experience in data science, ML, or applied analytics roles
• Strong understanding of statistical modeling, causal inference, and experimental design
• Proficiency in Python or R, with experience using libraries like scikit-learn, TensorFlow, or PyTorch
• Deep knowledge of SQL and working with relational databases

Preferred Skills

• Experience with large-scale data processing (e.g., Spark, Hadoop, Hive); BigQuery experience is a plus
• Background in digital advertising, ad tech, or real-time bidding environments
• Experience designing and analyzing online experiments (A/B testing)
• Ability to build and deploy production-level ML models

Why You'll Want This Role

• Join a cutting-edge team focused on transforming digital ad performance with data
• Collaborate cross-functionally in a fast-paced, mission-driven environment
• Opportunity to make a tangible impact on ad strategy and product development
• Fully remote with flexible scheduling aligned to core U.S. time zones