Amazon Data Scientist II DCC Communities 

United States, Virginia 

563550813

CIAT collects data from diverse sources of internal systems which often require cleaning, interpretation, and combination in order to tell a functional story. The Data Scientist II role is critical in transitioning the analysis output from Descriptive/Diagnostic to Predictive/Prescriptive, and providing the operations teams with actionable insights to enable ongoing improvements. The Data Scientist II will use a variety of tools (e.g. Python, SQL, SageMaker, R, SAS, etc.) to deep dive data sources to discover useful patterns that will drive process improvement or remediate systemic issues.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilities
• Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across data center global operations
• Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
• Work with a scientists and software engineers to deliver machine-learning and data science solutions to production.
• Perform hands-on data analysis, employ statistical testing methods and strategies, run regular A/B tests, and clearly communicate the impact to technical and non-technical audiences in senior leadership.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.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.Herndon, VA, USA

- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment