.What you'll doHelp to make location content best-in-class by advocating for and implementing changes to technology, process, tools, and systems.Draw our strategy based on insights obtained by manipulating data from a huge variety of sources: system logs, satellite imagery, vertical imagery, street level imagery, GPS traces, etc. individually and by fusing several combinations of these sources.Use these sources individually or their combinations to predict various map features and attributes by training statistical models/ ML / AI models.State the quality level of our maps via statistical experiments that help us understand where we are and why, and deliver effective insights that help drive our map editing strategy.Develop processes and tools to monitor and analyze model performance and data accuracy.Collaborate with teams to bring synergy, with tools and communications channels that ensure transparency and knowledge sharing across the company.Mentor/Coach/Guide team members aspiring to become a Data Scientist.Productionizing, deploying, testing, and monitoring of machine learning models including exposing them as services.Dedicate part of your weekly schedule to research and development to acquire new skills, run your own experiments.Work in a mostly-remote and flexible way that will allow you to find the perfect work-life balance.What you'll needBachelor's/Masters/PHD in Computer Science, Mathematics, Statistics, or equivalent field and must have min. 6+ years of overall experience.Minimum 4-5 years of experience working as a Data Scientist in deploying ML at scale in production.Strong level of proficiency in Python, Unix/Linux, and SQL.Experience working with Big Data technologies (e.G., Hadoop, Hive, Spark, Presto, S3).Experience in slicing and dicing large data sets to draw insights.Strong problem-solving skills.Excellent written, verbal, and presentation skills; good at data storytelling.Good statistical knowledge and expertise in designing and testing experiments.Experience in various ML / AI techniques and frameworks.Good communication skills in English.What we offerCompetitive compensation package.Home office benefits, with a setup budget and a monthly allowance to support.Chance to work abroad for 90-calendar days in select countries and states!Holiday package that includes your birthday off and a volunteering day per year.Bring your ideas and innovation to life during our Hackathon, DevDays, and more!Take on learning opportunities - internal programs, O'Reilly and LinkedIn learning.The opportunity to join one of the few top tech location specialists and have an impact on the future of mobility.Be part of a supportive, inclusive, and global culture.Meet your teamWe're Product Unit Automation. We develop and operate map production systems for high-quality map data
