🛠 Tech Stack

💼 About This Role

You'll own end-to-end data science projects to deliver KPIs and insights, collaborating with cross-functional teams. You'll build predictive models for linear and streaming TV advertising that directly impact revenue. This role offers the chance to optimize media buying using machine learning and large-scale data.

🎯 What You'll Do

• Develop end-to-end data science solutions for KPIs and insights.
• Build and improve predictive models for linear and streaming clearance.
• Collaborate with data science, product, and engineering teams.

📋 Requirements

• Master’s degree in Data Science or related field.
• Experience in machine learning techniques applied to real-world problems.
• Proficiency in Python and SQL for data analysis and modeling.
• Experience with large-scale data mining and analysis.

✨ Nice to Have

• Experience with cloud computing tools and storage systems.
• Knowledge of MapReduce framework.
• Background in statistical modeling for advertising.

🎁 Benefits & Perks

• 🏖️ Hybrid work up to 2 days remote per week.
• 🏥 Health insurance likely provided.
• 💰 Competitive compensation with equity possibilities.
• 📈 Career growth in a fast-growing ad-tech company.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone screen with recruiter· 30 min
2. 2Technical interview with data science team· 60 min
3. 3Hiring manager interview· 45 min

[email protected]