Senior Data Scientist, eCommerce

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