Data Scientist III

“The goal is to turn data into information and information into insight.”- Carly Fiorina  
Can you analyze our large corpus of driving data - literally terabytes every day - from millions of smartphones connected to vehicles and coax the data to provide insights? You will need to create algorithms and build models that will help you make recommendations that will drive business impact.  
As a Data Scientist, you will be a member of our world-class engineering team and as a technical leader, you will be expected to excel in a fast-moving environment within Zendrive while leading a team of data scientists. Our goal is to provide a safer driving experience to the world at large, and in the process, accelerate the evolution of transportation. 
What we expect from you:  
-Articulate goals, methodologies, and insights effectively within the team and leadership-Develop new models of a complex system by correlating location-based trends and events-Create A/B experiments - work with engineers to implement them and interpret their results-Architect our data warehousing strategy-Derive insights from data and answer difficult questions
What we want you to do:  
-Build insurance risk models by analysing driver behavior -Formulate physical problems as Data Science problems-Design data collection strategies-Recommend useful approaches from the latest developments in Statistics and Data Science for Zendrive’s problem domain
What you need to have:  
In addition to your well-honed communication, collaboration, and leadership skills, you need to possess strong intuition for data and a keen aptitude for large-scale data analysis. In addition, you need to have: -BS / MS with a minimum of 3-4  years experience as a statistician or a Ph.D. in Statistics ( final year)-Experience in the visualization of complex data (ggplot / matplotlib)-Expertise in analytical tools such as Python (Numpy, Pandas, Scikit-learn)
What will score bonus points: 
Your ability to prototype algorithms and demonstrate gains on real data will help you score bonus points. Additional points may be scored for your working knowledge of Hadoop / Spark or other big data systems and your prior experience with sensor data and/or risk analysis.
What we offer you:  
Working from a remote location of your choice, until such time as we figure that it is safe to move into a more conducive office space, which may not be anytime soon. Having said that, we provide a great collaborative environment even virtually with the best engineering talent to be found anywhere in the world. Along with a competitive salary, we will be providing you the opportunity to contribute to the development of products that make a real impact on the world.  
If you are excited about the job description and see yourself excelling in this role, hit the APPLY FOR THIS JOB button at the end of this page. Our Talent Acquisition team will get in touch with you.