Machine Learning Engineer

Responsible for building and deploying advanced analytics systems into production. Responsible for maintaining the environments and software for ongoing maintenance of these systems. Familiar with database structures, statistical modelling, software engineering best practices.

Primary Responsibilities

• Builds and deploys scalable analytical systems
• Develops data science proof-of-concept models into production-ready applications. Follows industry standard principles on software development
• Builds data science applications related to text-based search, and audio & video recordings
• Uses statistical modeling or A/B testing approaches to evaluate algorithmic improvements to model
• Executes on technical roadmap for data science products
• Performs systems analysis, interprets the findings from it and explains the finding to business audience to improve products such as revenue management system, and paid search bidding system
• Documents assigned aspects of projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics 

Job Specifications

• Proven analytical skills with data driven decision-making skills
• Ability to manage large data sets, develop data pipelines
• SQL programming skills. Python or R programming skills
• Team player with excellent collaboration skills
• Highly motivated and high level of energy and enthusiasm
• Prior experience with cloud technologies will be a plus

Education and Experience

• A Master’s Degree in computer science, mathematics, statistics, finance, economics, or other engineering;
  Requires 3+ years experience in deploying advanced analytics solutions to drive business outcomes.

Extra Space Storage is the second largest operator of self-storage facilities in the U.S. Since we were founded in 1977, we’ve taken the storage industry by storm. In  2015 alone we added 1.6 Billion dollars in new acquisitions to our already large property portfolio.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.