The Data Scientist will be accountable for:
1. Creating and delivering roadmap of the most challenging ML business problems from operations and use data to articulate possible root cause analysis and solutions.
2. Building world class statistical and machine learning models which will solve operational challenges
3. Working closely with Business Intelligence Engineers and developing the Machine learning expertise within the team by supervision.
4. Drive actions at scale to provide high impact services using scientifically-based methods and decision making and driving a low cost to serve.
5. Utilizing Amazon systems and tools to effectively work with terabytes of data.
6. Providing inputs and recommendations on technical issues to Business Intelligence engineers.
You will also have the opportunity to display your skills in the following areas:
1. Design, build and own all the components of a high volume data warehouse end to end.
2. Interface with other technology teams to extract, transform, and load (ETL) data from a wide variety of data sources
3. Build efficient data models using industry best practices and metadata for ad hoc and pre-built reporting
4. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
5. Design, implement, and support a self-service platform providing ad hoc access to large datasets
6. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
7. Interface with business customers, gathering requirements and delivering complete reporting solutions