Data Scientist, EFS

Key Skills

Java Programming, Python Programming, SQL, MATLAB Programming, R Programming, SAS

Job Description

Job summary

Amazon Elastic File System (EFS) is built in Boston, MA. It’s a fully managed service that makes it easy to set up and scale shared file storage in the AWS Cloud. Amazon EFS is designed for a wide variety of use cases: data analytics, video rendering, genomics analysis, web serving, content management, and home directories, to name a few.

We’re actively growing our data science team, and hiring a data scientist to the team! You’ll design and drive data science solutions to complex business problems. You’ll apply data science methods on billions of customer data points per day to innovate EFS into a market-leading filesystem for customers. The role offers high potential for career growth and the opportunity to routinely interact with senior engineers, product managers, and business leaders across the entire service.

You’ll be part of a larger team of engineers who design and build a service that allows customers to create cloud storage solutions that are secure, reliable, completely elastic, and can grow to petabyte-scale. Delivering a reliable and high-performance service at AWS scale requires engineers with extraordinary technical expertise and boundless creativity. At Amazon, engineers have the opportunity to interact with customers, to understand our business goals, and to innovate rapidly, delivering high-quality and ground-breaking functionality.

We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers; someone who will help us amplify the positive and inclusive team culture we’ve been building.

About the team

• Inclusive Team Culture - Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
• Work/Life Balance - Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
• Mentorship and Career Growth - Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

• Bachelor's Degree
• 1+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
• 1+ years of experience in solving data science problems relating to cloud or distributed systems

PREFERRED QUALIFICATIONS

• Advanced degree in Computer Science, Statistics, Applied Math, Operations Research, Economics, or a similar quantitative field
• Experience working with customers to define, gather, and refine requirements to ambiguous problems
• Experience designing and implementing rigorous, scalable, and maintainable data science solutions to customer problems
• Strong verbal and written communication skills, and the ability to convey technical concepts to non-expert audience
• A passion for technology developed from first principles for solving customer problems

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.