Job description
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
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.