Join the EC2 Capacity Intelligence Science Team in improving customer experience and capacity utilization by inventing and implementing scientific solutions directly into production where we have various complex online capacity management systems at the heart of where supply meets demand.
We are seeking analytical problem-solvers who thrive on deep dives into data. They should be excited about applying scientific principles and statistical techniques to real-world challenges. The ideal candidate will possess strong multi-tasking abilities and can credibly bridge the gap between engineering teams and business stakeholders. Your critical thinking skills, business understanding, and technical savvy will be leveraged to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your domain spans the design, development, testing, and deployment of data-driven and highly scalable machine learning solutions in efficient capacity and demand allocation, and improving customer experience.
An Applied Scientist in the EC2 Capacity Intelligence Science Team owns and drives medium-to-large sized projects to achieve cross-team goals. They invent and drive or heavily influence the design of scientifically-complex software solutions or systems, applying strong scientific reasoning and developing state-of-the-art models to solve complex problems for EC2 businesses.
To successfully develop novel solutions to complex problems in this space, they must have expertise in at least one computer science discipline (e.g., Machine Learning, Deep Learning) and a good understanding of the relative strengths and weaknesses of various state-of-the-art scientific approaches such as Forecasting, Machine Learning, Deep Learning and Causal Inference. They must drive best practices and set standards in balancing science and engineering interests while providing model transparency.
Key job responsibilities A successful Applied Scientist in the EC2 Capacity Intelligence Team must drive thoughtful discussions with stakeholders, fellow scientists and developers both within the team and across multiple teams to help bridge the gap between business and science. They must clearly explain their design and development decisions to their team, and independently implement and productionize their solutions. They must explain model outputs to customers and stakeholders, and work with them to understand pain points and corner cases that impact the business. They must leverage this domain expertise to develop new algorithms. They must write effective narratives for customers and leadership to gain approval from stakeholders on model launches or updates.
About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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Basic Qualifications
- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience using Unix/Linux
- Experience in professional software development
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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually