Who We Are

SimpliSafe is a leading innovator in the DIY security industry with one mission:  to make every home secure.  We believe in democratizing home safety.  As our co-founder Chad Laurans aptly put it, “you shouldn’t have to ask permission to secure your home.  You should be able to do it yourself.”

SimpliSafe protects over 3 million Americans and we’re growing at a rapid pace.  We pride ourselves in being daring innovators, humble cooperators, and data driven thinkers.  We go wherever the best idea leads us, work selflessly to get the best outcomes for our customers, and constantly analyze & reevaluate our efforts.  

The Job

As part of the Data & Analytics Team, reporting to the Head of Data Science, this role plays a critical part in building out SimpliSafe’s analytics capability. As SimpliSafe has been growing significantly over the last few years, its advanced analytics needs have outgrown its current analytics capacity. We are now in the process of increasing the rigor of SimpliSafe’s existing models, e.g. for customer segmentation or forecasting, but also support the business with new predictive capability around customer satisfaction, product recommendations, or situational awareness at the property we help protect. The Data Scientist will play an integral part in building out these analytics capabilities as well as in the analysis that leads to a better customer experience and a safer home for them.

What You’ll Do:

  • apply best suited modelling techniques, like deep learning, machine learning or traditional statistical modelling, to the problem at hand,
  • work with project stakeholders to identify business needs and gather requirements for data analysis or development of new analytics tools,
  • collaborate with Data Engineering and other Data & Analytics colleagues on the build-out of SimpliSafe’s new analytics tools,
  • convey meaningful insights via effective communication of analysis outcomes,
  • provide quick-response support to function team members for modelling and analysis projects,
  • document model creation, assumptions, and future use,
  • provide training on the models you built for function and Data & Analytics team members,
  • promote the use of more advanced data science techniques throughout the business.

This is an opportunity to join a new team tasked with transforming the organization to be truly data-driven, upscale its analytics capability and utilize the wealth of information we have access to. 

What You’ll Need:

  • Education and Experience
    • 4+ years of professional industry experience with a passion for and focus on implementation of data science methodologies
    • Demonstrated ability to effectively partner with business leads & non-technical stakeholders using data-driven recommendations to influence leading business decisions
    • Experience or passion for managing junior team members is required
    • Undergraduate degree in a field linked to data science, business analytics, applied mathematics, computer science, engineering or related field is required; advanced degree is preferred
    • Experience with data visualization and presentation tools (like PPT) preferred
  • Technical Competencies
    • Proficiency with
      • core data science methods like machine & deep learning, regression
      • core concepts in statistics like summary statistics, t-tests, sampling
      • SQL and relational data modelling
      • programming languages like Python, R, Scala
      • libraries and technologies commonly used in data analysis, statistics and ML such as pandas, scikit-learn, XGBoost, tensorflow, Spark
      • tools commonly used for data analysis such as Jupiter Notebooks
    • Experience with
      • data engineering development cycle (SDLC) and tools such as Git
      • monitoring, evaluating and tuning models in production
      • data visualization tools like matplotlib or Tableau
      • Advanced Analytics methods like Simulation (g. MC, dynamic, discrete event) or Optimization (e.g. linear programming, heuristic) a plus
      • computer vision and NLP a plus
      • data pipeline tools like AirFlow or Prefect a plus
      • query engines such as Athena, PrestoDB, Snowflake a plus
      • agile methodologies a plus
    • Soft skills
      • Able to anticipate, identify, and solve critical problems
      • Flexible, self-motivated, and proactive out-of-the-box thinker
      • Excellent interpersonal and communication skills
      • Fluent written and spoken English
      • Ability and willingness to give and receive honest, balanced feedback
      • Excellent organizational skills with strong attention to detail, efficient time management, and the ability to prioritize work effectively
      • Independently and proactively communicates issues, priorities, and objectives
      • Strong collaborative skills and able to adjust approach to effectively interact with customers at all organizational and technical levels
      • Ability to respect all of SimpliSafe’s and its customer information as confidential

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