DescriptionYou will join a growing team driven by innovation, experimentation, and a deep understanding of our customers. As a member of this team, you'll work closely with your cross-functional partners in Product Management, Data Engineering, and Platform Engineering as we build next-generation products.Responsibilities? Building best-in-class cognitive engines by leveraging sourced algorithms and machine learning models, performing comprehensive analysis? Develop, train, and test models using data from electric cars, trains, or airplanes for predicting faults, tracking, classification, and segmentation? Using ML approaches to solve linear and time series problems? Understanding of data collection and labeling design and execution? Work with customers and leading teammates to develop operational concepts, system-level requirements, and interface definitions? Writing requirements, developing test plans, and completing verification/validation procedures Requirements? 6+ years of experience and a postgraduate degree in data science? Heavy emphasis on numerical analysis in finding leading indicators in large data sets? Deep experience developing/testing/scaling complex ML solutions using Neural Networks and Deep Learning? Experience in data mining process, AI/ML techniques for market research, sales forecast, revenue prediction, and customer purchase behavior modeling? Experience in scripting with SQL, extracting large sets of data from internal database (Snowflake)? Experience taking large features from requirements to productions.? Proven track record of teamwork and deliveryNice to have? A Ph.D. in Data Science very much preferred? Experience with dbt / data engineering? Experience in a fast-paced / high growth environmentClose collaboration/development experience with data engineering and software engineering teams and visualizing data