Description

　　As trusted AWS Industries customer advocates, the Prototyping and Customer Engineering (PACE) team helps customers in creating the early iterations of products and solutions, often exploring new technical grounds. The team is looking for an experienced and motivated data science expert who possess a unique balance of technical depth and strong interpersonal and writing skills.

　　You will partner with customers and other developers to design solutions that address customer use cases and accelerate the adoption of AWS. You will work backwards from a customer outcome to identify the data science needs for a prototype and gather or synthesize training data. Then test ML model algorithms and parameters as you iterate with AWS services like Amazon SageMaker, Amazon Rekognition Custom Labels and others to deliver compelling results that prove technical feasibility.

　　You will be challenged with supporting emerging technology use cases across a range of industry verticals that act on numerical, text, audio and video data. Full-stack developers on your team will support you with delivering highly scalable ML & Gen AI solutions that close the loop with customer feedback to improve models over time. There will be many opportunities to lead the development team on our engagements and interact with business and technical customer stakeholders at the executive and C-level.

　　The ability to learn new technology and develop solutions that meet a high-quality bar and convey business value is critical to the role. In this role, it’s imperative that you’re self-guided and disciplined in managing your time to ensure success.

　　Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

　　Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

　　We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

　　We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

　　We are open to hiring candidates to work out of one of the following locations:

　　New York, NY, USA

　　Basic Qualifications

　　8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

　　3+ years of design, implementation, or consulting in applications and infrastructures experience

　　Bachelor’s degree in Computer Science, Engineering or related field of study or 12+ years of related work experience

　　Preferred Qualifications

　　7+ years design & implementation experience with large distributed applications

　　5+ years of experience in core discipline (data science)

　　Professional experience architecting, developing and operating cloud-based solutions.

　　MSc or PhD in Data Science, Analytics or similar domain

　　AWS Solution Architecture or Machine Learning certification or relevant cloud expertise.

　　Working knowledge of software development tools and methodologies.

　　Demonstrated ability to adapt to new technologies and learn quickly.

　　Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers

　　Able to adapt to new technologies, learn quickly, and manage high ambiguity.

　　Deep knowledge of software development tools and methodologies and active, hands-on coding and application design experience (e.g. Python, Java, JavaScript).

　　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.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $122,900/year in our lowest geographic market up to $239,000/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 https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.