EcoSense Lighting

Returning Candidate?

Data Scientist

Data Scientist

ID 
2017-1077
# of Openings 
1
Job Locations 
US-CA-Los Angeles
Category 
Advanced Technologies

More information about this job

Overview

Growing Companies and Deloitte's prestigious Technology Fast 500 list, EcoSense is a successful, rapidly growing LED technology company based in Los Angeles. Our purpose is to invent, inspire, and defy expectations through the lens of technology and the power of light. From Bloomingdales and BMW, to Harry Winston and Mall of Emirates, we light the most beautiful spaces in the world.
 
EcoSense hires curious, collaborative, and autonomous visionaries who have a passion for tackling the unknown, solving hard problems, and answering questions that haven’t been explored. We are looking for a Data Scientist.

 

The scope of the role will impact the entire product, and you will have the freedom to creatively invent incredible solutions. If you want to push boundaries in this field, then here is the position for you.

Responsibilities

  • Ability to quickly parse through large datasets, and provide end-to-end analyses
  • Design requirements and develop acquisition tools used to quickly and efficiently process and analyze data
  • Work cross-functionally with Product Management, Engineering, and other groups to effectively distill and communicate technologies being utilized
  • Analyze data from a wide range of sources to discover insights and drive decisions
  • Distill information in an easy to present and digestible manner to non-technical personnel you have the dexterity to tell a story focused on insights, not just data.

Qualifications

  • Ability to work in a fast-paced environment using advanced technology
  • Comfortable working on several competing tasks at once
    Proficient in data mining processes and optimization
  • Great instinct in identifying trends and providing insights in a fast and efficient manner
  • Rock star programing skills, using multiple languages. Python is a major plus Experience in developing scalable and automated solutions which can quickly and accurately parse data
  • Very well versed in the latest technology trends, including IoT
  • Masters or PhD degree in Engineering or related quantitative field (e.g. Computer Science, Mathematics, Physics, Economics)
    Experience in a broad range of techniques, including natural language processing, deep learning, machine vision, constrained optimization

Please note that this position is not eligible for sponsorship.  We are an equal opportunity employer that values diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply.