Amazon Sr Data Scientist AWS Commerce Platform Monetization 

United States, Washington, Seattle 

328090881

As a Senior Data Scientist on the team, you will lead building data science solutions end-to-end and deliver independently on ambiguous and large-scale problems. You will leverage your statistical and machine learning knowledge to address specific business problems. You will retrieve, understand, analyze, and present critical data and insights and communicate (verbal and written) to your partner engineers, scientists, product managers, and leadership to identify business opportunities, support decision making, and drive product innovations. Your primary focus as a Senior Data Scientist will be to utilize your technical acumen to address emerging customer needs, predict potential issues, and drive transformative innovations. Drawing from a deep understanding of complex systems and leveraging advanced analytics and machine learning models, you'll shape AWS's proactive approach to defining customer experiences. Collaborating with cross-functional teams, you'll ensure a unified understanding of customer needs and drive improvements in service delivery.Utilizing your expertise in data science, you'll independently solve complex problems and drive automation solutions to streamline processes. Additionally, you'll contribute to AWS's proactive and reactive measures to resolve customer problems, including customer journey mapping and agile issue resolution by utilizing advanced analytics and machine learning. By implementing these initiatives, you'll significantly enhance AWS's ability to capture customer feedback, address issues proactively, and deliver superior customer experiences, strengthening our competitiveness in the cloud computing landscape.Key job responsibilities
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- 7+ years of data science or relevant experience.
- 7+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Proven experience in a similar role, with a focus on customer insights, data analysis, automation, and communication.
- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)
- Experience using data and metrics to drive improvements.
- Experience working cross-functionally with technical and non-technical teams.
- Strong writing skills for creating high-quality documentation.
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience with statistical models, e.g. multinomial logistic regression

- Experience in building automation solutions using AI/machine learning models in coordination with technical teams.
- Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
- 5+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team