Sr Applied Data Scientist - Personalization (applied ML, PyTorch, RecSys)

What you'll do

• Develop and implement machine learning models using deep learning frameworks like PyTorch.
• Build recommendation systems at scale for digital marketing and personalization needs.
• Perform data exploration, analysis, and optimization to enhance AI-driven solutions.
• Evaluate model performance through offline analysis on large datasets and online experiments.
• Document and present technical work to both technical and non-technical stakeholders.
• Translate business problems into scalable data science solutions aligned with strategic goals.

What we're looking for

• MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research or equivalent experience.
• 3+ years of hands-on experience developing machine learning models with deep learning frameworks like PyTorch or JAX.
• Strong background in building recommendation and personalization systems at scale using Python and SQL.
• Expertise in optimization, statistics, probability theory, experimental design, and large-scale data processing platforms such as Spark.
• Proven ability to evaluate models through offline analysis on large datasets and online experimentation with statistical interpretation.
• Excellent communication skills for explaining complex technical concepts to both technical and non-technical stakeholders.