Data Scientist (Mid-Level)Our mobility team is responsible for building and managing our connected vehicle platforms, supporting product research using vehicle sensor data and creating new and exciting data services for our customers that makes driving safer, more convenient, and fun. We’re looking for a Mid-Level Data Scientist capable of using machine learning and statistical techniques to create state-of-the-art solutions for non-trivial, and arguably, unsolved problems. If you are results driven, interested in how to apply advanced machine learning techniques, would love to work with vehicle telemetry data and video, are deeply technical, highly innovative, and long for the opportunity to build solutions for challenging problems that directly impact the company's bottom-line, we want to talk to you.Mid Data Scientists will prototype, design, and implement predictive models and algorithms.
They will lead the full life cycle including data cleansing, feature creation, and iterative model selection. They will write maintainable and extensible tested code that adheres to standards, produce specifications, and determine operation feasibility, and troubleshoot, debut, and upgrade existing systems.ResponsibilitiesUse statistical and machine learning techniques to create scalable solutions for vehicle telemetry data and video analysis, and perform R&D to drive discovery of new generation mobility productsEstablish scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementationDrive adoption of best practices across organizationsDeliver production-ready codeWork with Product Owners to define the KPIs for machine learning projectsStay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methodsPrepare and present findings to both technical and non-technical audiencesWork within the constraints of time, budget, and resources capacities to align with our global visionDevelop and foster collaborative relationships with product, business, and engineering teams to effectively serve our customer needsQualifications5+ years of production experience working in Data Science or Software Engineering3+ years of production experience in Machine Learning, Computer Vision, Signal Processing, and/or Natural Language Processing (NLP)Solid production experience using Python (including NumPy) and SQLSolid production experience using TensorFlow and/or PyTorchProduction experience with Apache SparkStrong fundamentals in problem solving, algorithm design and complexity analysisExperience implementing Machine Learning pipelines in production environmentsHands-on experience with web APIs, containers, CI/CD and testingExperience from working in Agile Scrum environmentsExperience implementing solutions in a cloud environment (AWS, Azure, or Google Cloud)Experience working with data science in automotive telematics data and video is a plus