Principal Data Scientist, GTM Data Science

Job Description

About SimpliSafe

We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here.

Why are we hiring?

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. 

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.
• 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 Qualifications

• 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.

What Values You’ll Share

• Customer Obsessed – Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High – Always challenging ourselves and others to raise the bar.
• No Ego – Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team – Taking a highly collaborative approach to achieving success.
• Lift As We Climb – Investing in developing others and helping others around us succeed.
• Lean & Nimble – Working with agility and efficiency to experiment in an often ambiguous environment.

What We Offer

• 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.

The target annual base pay range for this role is $182,000 to $242,600

This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees’ job-related skills, experience, qualifications, work location, and other relevant business factors. 

Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.

We’re committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact [email protected].