Job Description

Q collects many terabytes of data on a daily basis which already accumulates to petabytes of data. The challenge of the Data Optimization Lead is to make sure the data is clean and of high quality, understand the gaps in our datasets and guide our data collection operations to collect what we need. Finally, you will be defining the company's validations sets to meet the product's success goals.

Responsibilities

As Data Optimization Lead you will oversee all the activities related to data quality, data optimization and help build our data collection strategy to make sure we cover our product space. You will:

• Manage, build, and grow a team of data professionals
• Define the data benchmark sets for the ML team
• Define what constitutes as good/golden data
• Understand our data space, identify the gaps in our data, collaborate with the ML team and guide the data collection group accordingly
• Automating data cleaning process
• Help experiment with and design new data collection protocols
  
  

• 5 years of experience in building and managing data oriented teams
• Hands on experience in manipulating large datasets of time-series and tabular data, analyzing and drawing conclusions
• Experience with image processing is a plus
• Experience with data visualization and presenting skills
• Experience with experimental design, research and data exploration
• Investigative mind set
• Msc or higher in data sciences and similar degrees