Role OverviewAs a Senior Data Science Engineering Manager, Marketing, you'll set the strategy for how data science and machine learning power personalized experiences for millions of customers. You'll lead and grow a team of data scientists and machine learning engineers, turning complex opportunities into focused priorities and scalable solutions.
What You Will Do
Lead, coach, and develop a high-performing team of data scientists and machine learning engineers, strengthening the technical and leadership capabilities needed to deliver personalization initiatives at scale.
Why It Might Be a Fit
You'll partner with senior leaders across Product, Engineering, Marketing, Revenue, and Data Science to identify opportunities, navigate tradeoffs, and connect technical decisions to customer and business outcomes.
Requirements
- Bachelor's Degree in Computer Science, Data Science, Machine Learning, or a related field
- At least 10 years of experience in data science or machine learning engineering
- At least 5 years of formal people leadership or management experience
- Advanced proficiency in Python and SQL
- Experience working with modern data platforms and cloud environments
- Deep knowledge of machine learning systems, statistical modeling, experimentation frameworks, and the software development lifecycle
- Experience applying software engineering, DevOps, and machine learning operations practices
- Strong communication and leadership skills
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