🛠 Tech Stack

💼 About This Role

You'll develop and deploy statistical ML models that solve complex business problems and drive measurable outcomes. You'll collaborate with Senior ML Engineers to ensure production readiness and monitor model performance. This role offers high impact in a data-driven culture where your models make it to production.

🎯 What You'll Do

• Develop and validate statistical and machine learning models
• Partner with ML engineers for production deployment
• Monitor deployed models for drift and accuracy
• Translate model results into actionable business recommendations

📋 Requirements

• 5+ years experience applying machine learning and statistics
• Master's or PhD in Statistics, Computer Science, or related field
• Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow)
• Strong proficiency in SQL (Snowflake) and data pipeline collaboration

✨ Nice to Have

• Familiarity with R, Java, Go
• Experience with cloud platforms (AWS)
• Experience with APIs and model deployment

🎁 Benefits & Perks

• 💰 Competitive compensation
• 📈 High-impact environment with data-driven culture
• 🔧 Opportunities to shape data science practices

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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