Senior ML Scientist - Personalization & Pricing AI Leader

Syndesus, Inc.; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Syndesus, Inc. is seeking a Senior Applied Scientist, Machine Learning to join the Consumer ML team. This hands-on role focuses on building and deploying ML solutions for personalization, pricing optimization, fraud detection, and customer journey improvements at scale.

You will lead end-to-end model development, design experimentation frameworks, and leverage deep learning, recommender systems, and reinforcement learning. GenAI tools will accelerate development.

Qualifications

• 8+ years in Applied Machine Learning or AI.
• 3+ years in a technical leadership or mentorship role.

Responsibilities

• Drive ML strategy across pricing, personalization, and recommendation systems.
• Design, build, and deploy ML models using behavioral and subscription data.
• Lead A/B and multivariate testing to evaluate model performance and impact.
• Leverage GenAI tools to accelerate development and experimentation.
• Apply deep learning, recommender systems, and representation learning techniques.
• Collaborate with product, marketing, engineering, and sales to translate ML insights into business value.
• Stay current with emerging ML techniques and contribute to internal knowledge sharing.

Skills

Python

SQL

PyTorch

Scikit-learn

Deep learning

Recommender systems

XGBoost

GitHub Copilot

Tools

Claude

GitHub Copilot

Job description

Syndesus, Inc. is seeking a Senior Applied Scientist, Machine Learning to join the Consumer ML team. This hands-on role focuses on building and deploying ML solutions for personalization, pricing optimization, fraud detection, and customer journey improvements at scale.

You will lead end-to-end model development, design experimentation frameworks, and leverage deep learning, recommender systems, and reinforcement learning. GenAI tools will accelerate development.