🛠 Tech Stack

💼 About This Role

You'll work directly with advertising agencies to analyze customer behavior and advertising performance, developing machine learning models that inform strategic marketing decisions. You'll translate complex analytical findings into actionable business recommendations. This role offers a hybrid work schedule and comprehensive benefits.

🎯 What You'll Do

• Conduct deep statistical analysis of customer behavior and advertising performance metrics.
• Design, develop, and deploy machine learning models for predictive analytics.
• Perform advanced statistical modeling including regression, hypothesis testing, and causal inference.
• Communicate analytical findings through compelling data visualizations and presentations.

📋 Requirements

• 3+ years professional experience applying statistical methods and machine learning.
• Strong foundation in statistical theory including probability, inference, and experimental design.
• Proficiency in Python or R for statistical analysis and machine learning.
• Experience with SQL and working with large-scale databases.

✨ Nice to Have

• Experience with advertising agencies or ad tech industry.
• Knowledge of digital advertising platforms like Google Ads or Facebook Ads.
• Familiarity with marketing attribution models and multi-touch attribution.

🎁 Benefits & Perks

• 🏖️ Flexible Time Off Policy
• 🏥 Insurance Coverage (medical, dental, vision, life, disability)
• 💰 401(k) retirement plan with employer 4% match
• 💻 Hybrid work schedule: 3 days in office, 2 days remote
• 👶 Paid leave options including parental leave

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min