Data Science Team Leader

Join us as a Data Science Team Leader! In this role, you will spearhead a talented group of economists, scientists, and data engineers dedicated to tackling intricate scientific challenges with significant implications for our business and customers. You will play a crucial role in designing structural and predictive models, harnessing data science methodologies, and fostering innovations that yield measurable benefits for Amazon customers. Key Responsibilities: Leadership & Team Management: Cultivate and steer a diverse team focused on innovation and delivery. Develop pathways for team members to enhance their skills and leadership potential while establishing clear performance metrics to communicate progress. Promote a culture that emphasizes practical research application and customer satisfaction. Technical Direction: Collaborate with key stakeholders to realize the scientific vision for your team. Lead the creation of cutting-edge structural and predictive models, utilizing new technologies and unique features. Oversee data science workflows and simulation frameworks, ensuring seamless integration of scientific, technical, and business needs. Strategic Planning: Define the structure and strategic goals of the team while establishing workflows that guarantee quality outputs. Drive timely project scheduling and adapt priorities as needed to achieve the best outcomes, ensuring team productivity is maximized. Communication & Influence: Craft clear and engaging documentation for technical and non-technical stakeholders. Foster strong collaborations across various business units and effectively present complex scientific insights to senior leadership. About Our Team: The Central Science Team in Amazon's People Experience and Technology organization employs a mix of economics, behavioral science, statistics, machine learning, and Generative AI. Our goal is to proactively discover methods for enhancing both Amazon's operations and the overall experience for Amazonians, combining science and UX to create impactful solutions. Basic Qualifications: 5+ years in building quantitative solutions as a scientist or in a managerial role. 2+ years of experience managing scientists or machine learning engineers. 5+ years applying statistical models for large-scale applications and constructing automated analytical systems. PhD in computer science, mathematics, statistics, machine learning, or related quantitative field. Proficiency in Python, R, or other scripting languages. Experience with modern programming languages such as Python, Java, Scala, or NodeJS. Familiarity with databases (NoSQL, SQL Server/MySQL) and software development. Experience with AWS technologies like Redshift, S3, Glue, EMR, Kinesis, and Lambda. Expertise in data modeling, warehousing, and building ETL pipelines. Preferred Qualifications: Experience in machine learning technologies, including Reinforcement Learning, Deep Learning, Computer Vision, or NLP. Knowledge of big data technologies such as Hadoop, Hive, Spark, or EMR. Experience operating large-scale data warehouses. Demonstrated ability in hiring and managing high-performing technical teams. A diverse and inclusive workplace is vital to Amazon's success. We believe in the power of individuals to shape our results for customers, and we encourage applicants from all backgrounds to consider this opportunity. Our compensation reflects the labor cost across various US geographic markets, with base pay ranging from $142,300 to $272,400 per year, depending on market location and candidate qualifications. In addition to salary, we offer a total compensation package, which may include equity, sign-on bonuses, and a comprehensive range of benefits. This position will remain open until filled. Please apply via our career site.

Created: 2026-03-04