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VP of Data Science - IoT BigData Jobs

VP of Data Science

VP of Data Science

Palo Alto, CA 2016-10-28 - –

NAUTO is developing insights from visual and telematic data and discovering ways to make drivers smarter and accidents fewer. We’re on a mission to help make communities safer and transportation more efficient. Data and its analysis is at the core of what we do. We’re looking for that special someone who can distill complex driving information down to digestible insight and help drive new products and services. The best candidate will lead our remarkable team of data science professionals and work with our extended team and key customers.


Define and help to deliver best in class data products and services
Lead the development of models that leverage visual driving data, GPS, and vehicle data to improve our product experience
Access, transform and analyze large amounts of driving data
Think critically about the relationships of different metrics measured by the product to land the right features for a given model
Challenge our current best thinking, test theories, evaluate feature concepts and iterate rapidly
Grow and manage a data science team as we scale, define and own the deliverables and manage the priorities/timelines
Design schema and data structure improvements working closely with the software team
Develop and maintain company-wide data analytics systems and processes
Never settle for good enough, constantly push the limits of how impactful what you deliver is to customers


5+ years experience developing data models and ability to show examples of your work
Product development experience, preferably with a data-intensive analytic product or platform
Experience managing and growing a data science team
Domain experience working in the insurance and traffic safety areas a plus
Solid fundamentals, computer vision and machine learning concepts
Experience with data tools including Spark, R and others
Experience with the AWS ecosystem (S3, RDS, EC2)
Expertise with database systems, SQL/NOSQL
Experience with parallelization tools Hadoop/MapReduce

To apply for this job please visit tinyurl.com.