Job
Description
As the Manager, Machine Learning Engineering at Inspire Brands, you will lead a specialized team focusing on developing sophisticated and scalable models across multiple brands. Your role will involve leading a team of 2-3 data scientists to design, create, monitor, and maintain mature ML systems. You will play a central role in facilitating effective communication and collaboration with various internal stakeholders, including demand generation, revenue management, brand analytics, data product, and engineering teams. **Key Responsibilities:** - Lead the development and implementation of advanced analytical models for predictive and prescriptive machine learning model systems. - Manage a team of data scientists, providing guidance on complex data analysis and modeling tasks, ensuring high-quality deliverables, and optimizing workflows. - Foster strong collaborative relationships with revenue management, brand analytics, and data product teams, to align data science initiatives with business objectives. - Communicate complex analytical findings and strategic recommendations effectively across different levels of the organization, including non-technical stakeholders. - Oversee the integration of machine learning recommendations with overall brand strategies, ensuring consistency and alignment. - Drive the continuous improvement of analytical tools and processes, staying up to date on industry trends and technological advancements. **Qualifications Required:** - Minimum master's degree in a STEM field with 4+ years of relevant work experience OR PhD in a STEM field with 3+ years of relevant work experience. - Experience managing multiple individual contributors. As the Manager, you should possess strong analytical skills with expertise in statistical modeling, machine learning, and data analysis. Proficiency in Python programming is essential. Your exceptional communication skills will allow you to translate complex data-driven insights into clear, actionable strategies for non-technical stakeholders. Proficiency in using major data analysis tools and software such as Databricks, Azure Data Factory, and Azure DevOps will be beneficial in this role. As the Manager, Machine Learning Engineering at Inspire Brands, you will lead a specialized team focusing on developing sophisticated and scalable models across multiple brands. Your role will involve leading a team of 2-3 data scientists to design, create, monitor, and maintain mature ML systems. You will play a central role in facilitating effective communication and collaboration with various internal stakeholders, including demand generation, revenue management, brand analytics, data product, and engineering teams. **Key Responsibilities:** - Lead the development and implementation of advanced analytical models for predictive and prescriptive machine learning model systems. - Manage a team of data scientists, providing guidance on complex data analysis and modeling tasks, ensuring high-quality deliverables, and optimizing workflows. - Foster strong collaborative relationships with revenue management, brand analytics, and data product teams, to align data science initiatives with business objectives. - Communicate complex analytical findings and strategic recommendations effectively across different levels of the organization, including non-technical stakeholders. - Oversee the integration of machine learning recommendations with overall brand strategies, ensuring consistency and alignment. - Drive the continuous improvement of analytical tools and processes, staying up to date on industry trends and technological advancements. **Qualifications Required:** - Minimum master's degree in a STEM field with 4+ years of relevant work experience OR PhD in a STEM field with 3+ years of relevant work experience. - Experience managing multiple individual contributors. As the Manager, you should possess strong analytical skills with expertise in statistical modeling, machine learning, and data analysis. Proficiency in Python programming is essential. Your exceptional communication skills will allow you to translate complex data-driven insights into clear, actionable strategies for non-technical stakeholders. Proficiency in using major data analysis tools and software such as Databricks, Azure Data Factory, and Azure DevOps will be beneficial in this role.
