Responsibilities

• report to the Senior Director of Data Science and serve as a senior technical leader for growth, marketing, customer lifecycle, and personalization.
• shape the strategy and production systems that help SimpliSafe acquire, retain, and grow subscriber relationships while improving the customer experience.

Requirements

• Deep expertise in marketing science, customer personalization, lifecycle modeling, and applied machine learning.
• Strong hands-on experience building and deploying machine learning solutions that have driven measurable business outcomes in production.
• Experience developing models and decision systems 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, model 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, with the ability to explain complex modeling concepts to technical and non-technical stakeholders.
• Typically 6+ years of experience in data science, machine learning, applied statistics, or a related field, or equivalent demonstrated expertise.

Preferred

• Hands-on experience with advanced ML techniques such as Gradient Boosted Trees, neural networks, and transformer-based models.
• Experience applying modern AI/ML techniques, including unstructured data or advanced signal integration, in production environments.
• Experience designing or deploying agentic AI solutions that orchestrate models, tools, data, and workflows to automate or augment GTM decision-making.
• Experience building recommendation, personalization, real-time decisioning, or next-best-action systems.
• Experience in subscription, ecommerce, smart home, security, telecommunications, insurance, fintech, or other customer lifecycle-driven businesses.
• Advanced degree in Computer Science, Statistics, Machine Learning, Economics, Applied Mathematics, Engineering, or a related quantitative field.

Benefits

• A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
• A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here )
• Free SimpliSafe system and professional monitoring for your home.
• Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.