Amazon Senior Data Scientist Amazon Payments 

India, Karnataka 

170286561

As a Senior Data Scientist in this team, you will be driving the Data Science/ML roadmap for business continuity & growth. You will develop statistical and machine learning models to solve for complex business problems in Gift-Cards space, design and run global experiments, and find new ways to optimize the customer experience. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You will explore GenAI use-cases within Gift-Cards space and also work on cross-disciplinary efforts with other scientists within Amazon.Key job responsibilities
- You should be detail-oriented and must have an aptitude for solving unstructured and ambiguous problems. You should work in a self-directed environment, own tasks and drive them to completion- You should demonstrate thorough technical expertise on feature engineering of massive datasets, exploratory data analysis, and model building using state-of-art ML algorithms - Random Forest, Gradient Boosting, SVM, Neural Nets, DL, Reinforcement Learning etc. You should be aware of automating feedback loops for algorithms in productionBengaluru, KA, IND

- Bachelors with 10+ years or Masters with 8+ years of experience in Data Science and ML
- Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive actions
- Ability to work backwards from customer needs, and distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Deep expertise in various ML/DL algorithms and key parameters that affect their performance
- Experience in Python, R or another scripting language, command line/notebook usage
- Proven experience in working with databases and SQL in a business environment
- Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-expert audience

- Experience in building & implementing scalable machine learning models in production to support real-time inference is a plus
- Compelling communication and influencing skills and demonstrated experience in engaging and influencing senior executives
- Familiarity with LLMs and AWS SageMaker is a plus
- Publications or presentations at Machine Learning, Deep Learning and Data Mining journals/conferences is a plus