Senior Data Scientist, eCommerce

Inizio Partners Corp

  • New York
  • 30+ days ago

    Highlights

    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. Work within a leading eCommerce organization to analyze large data sets and develop custom models/algorithms to uncover trends, patterns, and insights.

    Numbers & Facts

    LocationNew York
    Websitehttps://www.iniziopartners.com

    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.

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