Job Description
DESCRIPTION
The newest business group in AWS, Applied AI Solutions are built by AWS and AWS Partners to deliver applied AI solutions that leverage Amazon’s operational expertise and that businesses love and trust for their day-to-day success. Our ambition is to become a partner which companies can rely on to run their business every day, putting AI to work delivering better customer experience, operational excellence and speed.
Our customers are evolving from builders to both builders and buyers. As the AWS customer base expands, we increasingly need to serve customers who prefer to “buy” Solutions in addition to those who prefer to “build.” Given the depth and breadth of offerings (200+ AWS services and features, and thousands of APN offerings), and various ways they can be put together, increasingly customers need prescriptive guidance and automation to reduce the number of decisions they need to make and minimize last-mile development to adopt AWS.
About the Role
Join the AWS Solutions Analytics team as a Data Scientist where you'll transform complex business challenges into actionable insights. In this role, you'll partner directly with business leaders to drive growth initiatives through data-driven strategy and analysis.
Key Responsibilities
- Collaborate closely with AWS business leaders to understand key growth challenges and translate them into analytical frameworks
- Design and implement predictive models, statistical analyses, and machine learning solutions that directly impact business outcomes
- Synthesize complex datasets from multiple sources to identify trends, opportunities, and actionable recommendations
- Create compelling data analyses and executive-ready presentations that tell a clear story
- Develop scalable data solutions that enable business teams to make data-driven decisions
- Influence product and service strategies through rigorous quantitative analysis
Key job responsibilities
• Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
• Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.
• Conduct ad hoc data analysis and data quality investigations.
• Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.
• Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.
• Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.
BASIC QUALIFICATIONS
- 5+ years of building quantitative solutions as a scientist or science manager experience
- 2+ years of scientists or machine learning engineers management experience
- 5+ years of applying statistical models for large-scale application and building automated analytical systems experience
- PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Knowledge of Python or R or other scripting language
Job Tags
Full time, Flexible hours,