Role: Principal Data Scientist, GTM Data Science
Role overview: As Principal Data Scientist, GTM Data Science, you will report to the Senior Director of Data Science and serve as a senior technical leader for growth, marketing, customer lifecycle, and personalization. You will shape the strategy and production systems that help SimpliSafe acquire, retain, and grow subscriber relationships while improving the customer experience.
Role: Principal Data Scientist, GTM Data Science
Role overview: As Principal Data Scientist, GTM Data Science, you will report to the Senior Director of Data Science and serve as a senior technical leader for growth, marketing, customer lifecycle, and personalization. You will shape the strategy and production systems that help SimpliSafe acquire, retain, and grow subscriber relationships while improving the customer experience.
What we’re looking for: - Deep expertise in marketing science, customer personalization, lifecycle modeling, and applied machine learning. - Hands-on experience building and deploying ML solutions that drive measurable business outcomes in production. - Experience developing models for customer acquisition, conversion, retention, segmentation, personalization, lifetime value, and next-best-action use cases. - Strong understanding of experimentation, causal inference, incrementality measurement, and marketing effectiveness. - Significant experience with MLOps, model deployment, monitoring, and distributed compute environments. - Proficiency with Python, SQL, Databricks, AWS SageMaker, Spark, MLflow, and modern cloud data platforms. - Experience designing scalable data and feature pipelines for production ML systems. - Ability to operate as a senior individual contributor: setting technical direction, influencing roadmaps, mentoring others, and driving execution across teams. - Strong communication skills to explain complex modeling concepts to technical and non-technical stakeholders
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What we’re looking for: - Deep expertise in marketing science, customer personalization, lifecycle modeling, and applied machine learning. - Hands-on experience building and deploying ML solutions that drive measurable business outcomes in production. - Experience developing models for customer acquisition, conversion, retention, segmentation, personalization, lifetime value, and next-best-action use cases. - Strong understanding of experimentation, causal inference, incrementality measurement, and marketing effectiveness. - Significant experience with MLOps, model deployment, monitoring, and distributed compute environments. - Proficiency with Python, SQL, Databricks, AWS SageMaker, Spark, MLflow, and modern cloud data platforms. - Experience designing scalable data and feature pipelines for production ML systems. - Ability to operate as a senior individual contributor: setting technical direction, influencing roadmaps, mentoring others, and driving execution across teams. - Strong communication skills to explain complex modeling concepts to technical and non-technical stakeholders
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Based on: Principal Data Scientist, GTM Data Science
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