About the role
Description
We're looking for a Senior Data Scientist to join our growing eCommerce team. When you join us, you'll build machine learning systems, uncover game-changing insights and use state-of-the-art techniques to shape and execute our global eCommerce growth agenda. You will work with internal business stakeholders and strategic partners to identify opportunities for collaborative development and foster a data-driven culture between relevant teams.
Responsibilities:
* Work on state-of-the-art large-scale data analytics and machine learning projects. * Work within a leading eCommerce organization to analyze large data sets and develop custom models/algorithms to uncover trends, patterns, and insights. * Establish standards for writing clean, organized machine learning code to streamline machine learning workflow within the DS team. * Provide critical expertise to enhance organizational capabilities by utilizing a variety of data sets. * Work with business stakeholders to identify and execute opportunities for enhancement. * Create documentation and best practices to share with the ML community.
Qualifications:
* Masters Degree in STEM or equivalent. * Minimum five years of relevant work experience. * Experience designing and developing machine learning solutions using a variety of data sources. * Strong programming skills, especially in Python . * Expertise in customizing Modern ML systems, including optimization and forecasting. * Experience and functional familiarity with software development and data engineering best practices. * Expert in mathematical models underlying data science methods, understanding the trade-offs between different solutions. * Demonstrated ability to communicate with both business and technical audiences effectively and concisely. * Experience with DevOps tools such as git, Docker, Datadog, etc. * Experience in supply chain. * Experience in building AI applications. * Experience with distributed cloud computing platforms, particularly Kubernetes or the Hadoop/Spark ecosystem.
Originally posted on Himalayas