Principal Data Scientist, GTM Data Science

TL;DR

Principal Data Scientist, GTM Data Science (Marketing Science/Applied ML): Building and deploying machine learning systems that drive customer acquisition, retention, and personalization with an accent on experimentation, causal inference, incrementality measurement, and production MLOps. Focus on designing scalable data/feature pipelines and decision systems for GTM growth while mentoring others and setting technical direction across teams.

Location: Boston, MA

Salary: $182,000–$242,600 (annual base pay)

Company

High-tech home security company focused on keeping every home secure.

What you will do

• Shape strategy and production systems for acquiring, retaining, and growing subscriber relationships while improving customer experience.
• Develop models and decision systems for acquisition, conversion, retention, segmentation, personalization, lifetime value, and next-best-action.
• Lead experimentation and measurement using causal inference and incrementality to evaluate marketing effectiveness.
• Build and deploy ML solutions in production with strong MLOps practices, including model deployment and monitoring.
• Design scalable data and feature pipelines for production ML systems across distributed compute environments.
• Operate as a senior individual contributor by setting technical direction, influencing roadmaps, mentoring, and driving execution across teams.

Requirements

• 6+ years of experience in data science, machine learning, applied statistics, or a related quantitative field.
• Deep expertise in marketing science, customer personalization, lifecycle modeling, and applied machine learning.
• Hands-on experience building and deploying ML solutions that deliver measurable business outcomes in production.
• 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.

Nice to have

• Experience with advanced ML techniques such as gradient boosted trees, neural networks, and transformer-based models.
• Experience applying modern AI/ML techniques with unstructured data or advanced signal integration in production.
• Experience designing or deploying agentic AI solutions for GTM decision-making automation/augmentation.
• 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 a quantitative field (CS, Statistics, ML, Economics, Applied Mathematics, Engineering, or related).

Culture & Benefits

• Mission- and values-driven culture with a safe, inclusive environment.
• No-ego, collaborative, and innovation-focused working style.
• Free hirify.global system and professional monitoring for your home.
• Comprehensive total rewards package including medical, retirement, and lifestyle benefits; may include bonus and equity.
• Employee Resource Groups (ERGs) for networking, mentoring, and advocacy.

Hiring process

• Interview process to evaluate technical depth in ML/marketing science and ability to lead production ML systems.
• Discussion of collaboration and communication skills with technical and non-technical stakeholders.