Amazon
Data Science Manager, Intl Seller Growth
Amazon, Indiana, Pennsylvania, us, 15705
Data Science Manager, Intl Seller Growth
Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques and econometric models to solve complex challenges in the e-commerce space? If so, Amazon's International Seller Services team has an exciting opportunity for you as a Data Science Manager.At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Our International Seller Services team plays a pivotal role in expanding the reach of our marketplace to sellers worldwide, ensuring customers have access to a vast selection of products.As the Data Science Manager for Amazon's International Seller Services organization, you will lead a talented and diverse team of data/applied scientists, machine learning experts, and quantitative analysts. Your team will be responsible for driving innovation across a wide range of science initiatives, from natural language processing and conversational AI to econometric modeling and ROI-based optimization. You will be part of a global team that is focused on acquiring new merchants from around the world to sell on Amazon’s global marketplaces.Join us at the Central Science Team of Amazon's International Seller Services and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.Key job responsibilities:Manage a team of experienced data scientists and machine learning engineers, providing technical mentorship and career development support.Collaborate closely with stakeholders across the International Seller Services organization to identify high-impact opportunities for data-driven solutions.Design and oversee the execution of complex data science and machine learning projects, ensuring they align with strategic business objectives.Leverage large-scale data sets and cutting-edge technologies to develop novel algorithms and models that enhance the seller experience and drive growth.Stay up-to-date with the latest advancements in relevant fields, such as natural language processing, econometrics, and reinforcement learning, and determine how to best apply them to solve real-world challenges.Foster a culture of innovation, collaboration, and knowledge-sharing within your team and across the broader organization.Effectively communicate technical insights and recommendations to both technical and non-technical stakeholders, including senior leadership.Minimum Qualifications:5+ years of building quantitative solutions as a scientist or science manager experience.2+ years of scientists or machine learning engineers management experience.5+ years of applying statistical models for large-scale application and building automated analytical systems experience.PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field.Knowledge of Python or R or other scripting language.Preferred Qualifications:Experience with explainable machine learning and artificial intelligence methodologies and tools.Experience working with data engineers/business intelligence engineers collaboratively.
#J-18808-Ljbffr
Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques and econometric models to solve complex challenges in the e-commerce space? If so, Amazon's International Seller Services team has an exciting opportunity for you as a Data Science Manager.At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Our International Seller Services team plays a pivotal role in expanding the reach of our marketplace to sellers worldwide, ensuring customers have access to a vast selection of products.As the Data Science Manager for Amazon's International Seller Services organization, you will lead a talented and diverse team of data/applied scientists, machine learning experts, and quantitative analysts. Your team will be responsible for driving innovation across a wide range of science initiatives, from natural language processing and conversational AI to econometric modeling and ROI-based optimization. You will be part of a global team that is focused on acquiring new merchants from around the world to sell on Amazon’s global marketplaces.Join us at the Central Science Team of Amazon's International Seller Services and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.Key job responsibilities:Manage a team of experienced data scientists and machine learning engineers, providing technical mentorship and career development support.Collaborate closely with stakeholders across the International Seller Services organization to identify high-impact opportunities for data-driven solutions.Design and oversee the execution of complex data science and machine learning projects, ensuring they align with strategic business objectives.Leverage large-scale data sets and cutting-edge technologies to develop novel algorithms and models that enhance the seller experience and drive growth.Stay up-to-date with the latest advancements in relevant fields, such as natural language processing, econometrics, and reinforcement learning, and determine how to best apply them to solve real-world challenges.Foster a culture of innovation, collaboration, and knowledge-sharing within your team and across the broader organization.Effectively communicate technical insights and recommendations to both technical and non-technical stakeholders, including senior leadership.Minimum Qualifications:5+ years of building quantitative solutions as a scientist or science manager experience.2+ years of scientists or machine learning engineers management experience.5+ years of applying statistical models for large-scale application and building automated analytical systems experience.PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field.Knowledge of Python or R or other scripting language.Preferred Qualifications:Experience with explainable machine learning and artificial intelligence methodologies and tools.Experience working with data engineers/business intelligence engineers collaboratively.
#J-18808-Ljbffr