We are seeking a Data Scientist with machine learning, analytical, communication, and project management skills to join our team. As part of multi-skilled team engineering teams, and with product owners, you will help identify and solve complex prediction problems to improve inbound supply chain systems modelling supplier behavior so we can offer products to our customers with confidence we will deliver on time. Also, you will develop metrics and reports to measure our impact on Amazon's business. In a typical day, you will work closely with retail leads, product managers, engineers, and various business groups.
You are an individual with outstanding analytical and machine learning modelling abilities, excellent communication skills, good business understanding, and technically savvy. The successful candidate will be an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders.
- Collaborating with colleagues from multidisciplinary science, engineering, and business backgrounds, to identify and reduce gaps in current inventory availability.
- Build statistical, predictive and machine learning models to drive sourcing accuracy.
- Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, and transformation.
- Promote data-driven decision making across the team, using tools such as Tableau, SQL, and Excel.
- Influence leaders to make thoughtful data decisions to provide the most consistent and usable data for all teams across the company.
- Combine expert knowledge of statistical methodology and analysis with advanced programming skills to support complex analyzes.
- Share/develop best practices with other Amazon teams on a global scale.
- Build metrics, reports and dashboard to analyze key inputs to internal systems