Senior Data Scientist

Key Skills

Java Programming, Python Programming, SQL, NumPy, SciPy, Scikit-learn

Job Description

Job summary

Are you excited about developing state-of-the-art Machine Learning, Deep Learning, and Computer Vision algorithms and designs using large data sets to solve real world problems? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment? Do you want to build a foundation for your career after your Master's or PhD program at an industry-leading company?

As a Data Scientist, you will bring statistical modeling and machine learning advancements for building customer-facing solutions at scale. You will be working in a fast-paced, cross-disciplinary team to solve problems in areas of robotics, perception quality assessment, anomaly detection, optimization, etc. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products.

Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. We’re looking for a teammate who is enthusiastic, empathetic, curious, motivated, and will contribute positively to our inclusive team culture. We're committed to your growth and development. Our team has all experience levels and Amazon tenures, and your growth is supported by our senior engineers and scientists who truly enjoy mentoring. You will be working on complex projects that will challenge you and further develop you a well-rounded scientist.

We offer flexible year round start dates for fulltime roles.

Apply today to help us research and build the future!

Mentorship

Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers and scientists truly enjoy mentoring junior team members through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Work/Life Balance

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.

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 we 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 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

BASIC QUALIFICATIONS

• Phd or MS in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in machine learning, Deep Learning, Computer Vision, or related fields.
• 4+ years’ experience in programming with Python and ML tools such as numpy, scipy, scikit-learn.
• Ability to work on a diverse team or with a diverse range of coworkers.

PREFERRED QUALIFICATIONS

• Research experience related to relevant research topic including but not limited to ML, DL, NLP, CV
• Published and/or presented papers at top conferences associated with relevant research topics including but not limited to ICASSP, ICML, KDD, CVPR, EMNLP, NeurIPS, etc.