Data Science Manager, ES Tech Machine Learning

Job Description

Job summaryJob summaryAt Amazon, were working to be the most customer-centric company on earth. This includes delivering innovative HR experiences for our employees. To get there, we need exceptionally talented, bright, and driven people. The Employee Services Technology (ES Tech) is growing rapidly and is looking for a talented data science manager to lead creating massive scale and powerful new solutions that our customers need to be successful. In this role, you will work to establish world class data science, analytics and reporting for Amazonians as part of building the Personalization Engine for myHR. This key role will work closely with internal partners to assist in developing and managing solutions for ES Tech. We are looking for candidates who want to invent the future for employee engagement.In this role you will lead a team of scientists to tackle some of the hardest problems in Employee engagement. You and your team will develop state of the art causal learning, deep learning, and predictive techniques to transform employee engagement. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Job responsibilities Manage a team of data scientists, identify opportunities and develop data science strategies. Translate business questions and concerns into specific analytical questions that can be answered with available data using statistical methods. Apply Statistical and Machine Learning methods to specific business problems and data. Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions. Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds. Work with engineers to develop efficient data querying and modeling infrastructure. Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time. Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical models., Masters in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent). 8+ years of experience working in a data science capacity, ideally in the tech or consumer industry. Experience hiring and leading experienced scientists as well as a successful record of developing junior members to a successful career track. Evidence of doing or directing science work with high positive impact on business outcomes. Experience hiring and leading experienced scientists as well as a successful record of developing junior members to a successful career track. Management experience for working on cross-functional projects. Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, that have been successfully integrated in production systems or informed policy decisions. Proficient with SQL and at least one scripting language (e.g., R, Python). Demonstrable expertise in research design methodologies (e.g., experiments, quasi-experiments, surveys, sampling methods, etc). A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) 10+ years of experience working in data science in a consumer product company 5+ years of experience managing data scientists or similar roles. Experience with AWS technologies like Redshift, S3, Sagemaker, EC2, Data Pipeline, & EMR.

Keyskills :
deep learningsqlproduction systemsresearchbusinessmachine learningdata qualityartdata science