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The Senior Staff Data Engineer will design and develop scalable data pipelines, integrate complex data sets for analysis, and build data products on a cloud-native platform. Responsibilities include collaborating with teams to implement data models, ensuring data quality, mentoring, and advocating best practices in data engineering.
As a Machine Learning Engineer II, you will develop and deploy machine learning solutions for inventory optimization, collaborating with data scientists and automating data processes. Your role involves creating scalable data analyses, managing ETL pipelines, and exploring innovative technologies to enhance our analytics capabilities.
The Data Scientist will utilize SQL and Python for data analysis, design automated data ingestion processes, lead machine learning projects, manipulate and visualize data, build scalable workflows using cloud services, and apply CI/CD practices.
As a Senior Data Scientist, you will analyze large datasets to provide actionable insights and enhance data-driven decision-making. You'll be responsible for developing data science pipelines, maintaining production-scale machine learning systems, and using programming languages, particularly Python and SQL, along with big data technologies.
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