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Senior Data Scientist, Global Transformation + Insights, GREF – Global Transformation & Insights (GTI) at Amazon
Amazon
Arlington, TX
Information Technology
Posted 0 days ago
Job Description
The Global Real Estate and Facilities (GREF) team provides real estate transaction expertise business partnering space & occupancy planning design and construction capital investment program management and facility maintenance and operations for Amazons corporate office portfolio across multiple countries. We partner with suppliers to ensure quality innovation and operational excellence with Amazons business and utilize customer driven feedback to continuously improve and exceed employee expectations. Within GREF the newly formed Global Transformation & Insights (GTI) team is responsible for Customer Insights Business Insights Creative and Communications. We are a group of builders creators innovators and go getters. We are customer obsessed and index high on Ownership. We Think Big and move fast and constantly challenge one another while collaborating on what else how might we and how can I help. We celebrate the unique perspectives we each bring to the table. We thrive in ambiguity.The ideal Senior Data Scientist candidate thrives in ambiguous environments where the business problem is known though the technical strategy is not defined. They are able to investigate and develop strategies and concepts to frame a solution set and enable detailed design to commence. They must have strong problem-solving capabilities to isolate define resolve complex problems and implement effective and efficient solutions. They should have experience working in large scale organizations where data sets are large and complex. They should have high judgement with the ability to balance the right data fidelity with right speed with right confidence level for various stages of analysis and purposes. They should have experience partnering with a broad set of functional teams and levels with the ability to adjust and synthesize their approaches assumptions and recommendations to audiences with varying levels of technical knowledge. They are mentors and strong partners with research scientists and other data scientists. Key job responsibilities- Demonstrate advanced technical expertise in data science- Provide scientific and technical leadership within the team- Stay current with emerging technologies and methodologies- Apply data science techniques to solve business problems- Guide and mentor junior data scientists- Share knowledge about scientific advancements with team members- Contribute to the technical growth of the organization- Work on complex high-impact projects- Influence data science strategy and direction- Collaborate across teams to drive data-driven decision making- 5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience- 4 years of data scientist experience- Bachelors degree- Experience in machine learning statistics and deep learning- Knowledge of concepts like system architecture optimization system dynamics system analysis statistical analysis reliability analysis electronic system design and decision making- Experience solving complex problems quantitatively and develop actionable data-driven business recommendations- Experience in building analytic or scientific data products or solutions- Experience leading and influencing your team or organization or experience managing teams- Experience managing and coaching team members- Knowledge of existing and developing technologies- Experience communicating complex ideas to technical and non-technical audiences- Advanced proficiency across multiple data science disciplines- Strong foundation in data science methodologies and tools- Masters Degree with 4 years of relevant experience OR- Bachelors Degree with 8 years of relevant experienceAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143300/year in our lowest geographic market up to $247600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.Required Experience:Senior IC Key Skills Bidding,Integration,Christmas Temporary,ABB,Elevator Maintenance,Application Engineering Employment Type : Full-Time Experience: years Vacancy: 1 Yearly Salary Salary: 143300 - 247600
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