Data Science, Customer Journey Analytics

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.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

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. 

What You’ll Do

In this role, you will leverage your expertise in customer behavioral data, primary customer research/feedback, and statistics/machine learning to help drive innovations through the effective identification and application of analytics. You will seamlessly bridge attitudinal and behavioral data to deliver comprehensive insights that inform and guide our business strategy. You will collaborate with researchers, data analysts, data scientists, engineers and business owners to help answer Simplisafe’s most complex business challenges through wide-ranging analysis. This is a highly visible and impactful role where you will directly influence Simplisafe strategies and decisions.

Primary responsibilities include: 

  • Partner with Engineering teams to deeply understand and influence what/how customer data is persisted for analytics purposes  
  • Write complex SQL queries to extract and transform raw data into usable analytics assets, developing high quality data pipelines
  • Maintain reports and dashboards into key business metrics 
  • Identify trends, quantify and rank opportunities, and undertake customer and driver based journey analytics to support business planning & strategic decision making
  • Develop and support robust measurement plans for experiments to maximize learnings and facilitate clear decision making 
  • Leverage statistics and machine learning to analyze behavioral data in conjunction with quantitative survey data to develop comprehensive insights on drivers of key customer actions (eg, subscription churn)
  • Summarize insights from analyses into cohesive stories with clear recommendations and proposals for next steps
  • Knowledge of the business, SME for customer journeys and biggest opps

What You’ll Bring

  • Proven ability to understand business intricacies and utilize data and analytics to drive significant impacts.
  • Advanced degree in Data Science, Statistics, Mathematics, Computer Science, Physics, Economics or a related quantitative field (or equivalent experience)
  • Strong proficiency in SQL and experience working with relational databases
  • Ability to communicate technical and statistical concepts clearly and concisely among audiences at various levels
  • Applied experience with various supervised (e.g., regression, classification, decision trees) and unsupervised (clustering, principal component analysis, anomaly detection) modeling techniques to drive business decision making
  • Strong partnership and influence skills; independently drive projects forward with the ability to understand the question behind the question
  • Natural curiosity with a strong intuition on when to be scrappy and when to be thorough
  • Experience building multi-step ETL jobs/data pipelines and working with job scheduling systems is a plus

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

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


Customer Experience


Data Science, Customer Journey Analytics


Boston, MA