🛠 Tech Stack

💼 About This Role

You'll work with advertising agencies and brands to analyze customer behavior and advertising performance, developing machine learning models for strategic marketing decisions. Your insights will directly optimize advertising spend and identify high-value audience segments. This role offers a hybrid schedule with amazing career development opportunities.

🎯 What You'll Do

• Conduct deep statistical analysis of customer behavior and advertising metrics.
• Design and deploy machine learning models for prediction and optimization.
• Perform advanced statistical modeling including regression and time series.
• Build predictive models for customer lifetime value and churn.
• Develop automated reporting solutions and client dashboards.

📋 Requirements

• 3+ years of professional experience applying statistical methods and machine learning.
• Strong foundation in statistical theory including probability and experimental design.
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting).
• 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 (Google Ads, 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 office, 2 days remote
• 👶 Parental leave and paid leave options

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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