Sr Applied Data Scientist - 1:1 Personalization, Audience and Experimentation (applied ML, PyToch, A/B testing)

What you'll do

• Design, build, and optimize personalization models, including recommendations, ranking, propensity, and reinforcement-learning approaches.
• Develop experimentation and measurement frameworks, including A/B testing, multi-armed bandits, and causal inference.
• Collaborate with product, engineering, marketing, and analytics partners to deploy scalable, reliable models and measure business impact.

What they ask for

• 3+ years of applied data sciences experience, end to end with digital marketing and measurement teams.
• Experience with customer-level A/B testing and matched-market testing.
• Strong hands-on experience in personalization/recommendations, applied ML, NLP, and deep learning.
• Proficiency in Python, SQL, and modern ML libraries; experience building and deploying applied ML models in production.

Pay

$98,000.00 - $176,000.00 (base salary)

Tools

Python, SQL, TensorFlow, PyTorch, Scikit-learn, GCP Vertex AI, Spark, Databricks

AI focus

Build and deploy personalization models; evaluate advances such as deep learning, embeddings, transformers, large language models, and reinforcement learning for personalization use cases.