Senior Data Scientist, Prototyping and Customer Engineering (PACE)
Seattle, Washington, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...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 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.
Key job responsibilities
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
- Working knowledge of cloud technologies in an ai/ml context.
- 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 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.
Tags: Architecture AWS Computer Science Consulting Engineering Java JavaScript Machine Learning PhD Prototyping Python SageMaker Security
Perks/benefits: Career development Conferences Equity Flex hours Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open AI Engineer jobs
- Open Senior Data Architect jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Analytics Engineer jobs
- Open Sr Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Engineer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Manager jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open ETL Developer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs