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Data Scientist
  • Python
  • SQL
  • Machine Learning
  • Tableau
  • Excel
  • Business Intelligence
  • Azure
Brinks Home Security
Farmers Branch, TX 75234
120 days ago

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

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