Brinks Home Security™ is a proven leader in the smart home technology and residential security industries, providing cutting-edge products and alarm monitoring services to more than one million customers throughout North America. We are currently seeking a motivated and dynamic Data Scientist.

Our brand promise delivers on 4 core principles:

• Integrity in Action: Be True, Be Responsive, Be Accountable
• Sense of Urgency: Every Moment Matters
• Relentless Discipline: Rigor, Precision and Excellence in Every Single Action
• Results Matter: Account to Customers, Employees & Stakeholders

Join our team of trusted security advisors and providers and help us create more secure smart home customers.

Summary:

Brinks Home Security’s Business Intelligence team is rapidly growing and is seeking a Data Scientist to advise on and implement machine learning models to improve customer acquisition and customer retention efforts across the organization.

Essential Duties and Responsibilities:

• Develop, implement and evaluate machine learning and optimization models across multiple platforms to create actionable insights from complex data sets.
• Work closely with data engineers to deploy models and systematically track model and data performance.
• Understand and clearly communicate model performance to leadership team by translating the complex into the concise and clear
• Collaborate with Operations, Marketing, Sales, and IT to utilize model findings to build and test programs that improve customer acquisition and retention efforts

Requirements:

• Advanced degree in a quantitative discipline such as Computer Science, Engineering, Applied Mathematics, Statistics, Econometrics or Undergraduate degree with significant, demonstrative experience in data science
• 3+ years of demonstrated/hands-on experience required for the following:
  • Machine Learning and statistical analysis (text mining, sentiment analysis, gradient boosting, random forest, regression, etc.)
  • Designing and running experiments and extracting insights
  • Visualization/Dashboarding tools (Experience with Tableau preferred)
  • Proficiency in Python and relevant libraries
  • Thorough understanding of SQL
• 2+ years’ experience working with cloud infrastructure (Azure, AWS, Google Cloud etc.)
• Excellent communication skills and the ability to collaborate with business stakeholders on use cases and requirements