Amazon Data Scientist II JWO 

India, Karnataka 

500591363

*This position is located in Bengaluru
The Role2. Interview stakeholders to gather business requirements and translate them into concrete requirement for data science projects
3. Build models that forecast growth and incorporate inputs from product, engineering, finance and marketing partners
4. Define metrics and design algorithms to estimate customer satisfaction and engagement in real-time
5. Apply data science techniques to automatically identify trends, patterns, and frictions of customer interaction and retention
6. Work with data engineers and software development engineers to deploy models and experiments to production
7. Identify and recommend opportunities to automate systems, tools, and processes.
Key job responsibilities
1. Build and maintain time series forecasting models for demand planning using advanced forecasting tools and Python.
2. Design and build simulators and automated processes for shift planning and other organizational needs.
3. Define and evaluate key business metrics to drive decision-making and strategy.
4. Develop machine learning tools to enhance operational efficiency and human-in-the-loop processes.
5. Conduct anomaly detection and predictive analysis to forecast hardware failures and maintain operational continuity.
6. Leverage sampling methods and uncertainty analysis to evaluate associate performance accurately and cost-effectively.
7. Conduct experiments, including A/B tests, to support business decisions and model development.
8. Stay up to date with developments in generative AI, incorporating latest techniques into tools and models.
9. Develop statistical models to evaluate current systems and identify optimization opportunities.
10. Work autonomously and manage projects with little oversight, driving them from inception to implementation.
11. Regularly write up your work and findings in internal doc reviewsAbout the team
Diverse Experiences
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.
Mentorship and Career Growth
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.

- 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