Senior Data Scientist, eCommerce

About the job 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 Dev Ops 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.