Data Scientist, Amazon Payment Products
6 months ago
Bachelors with 5+ years or Masters with 3+ years of experience
- Experience in Python, R or another scripting language; command line / notebook usage. Additional knowledge of SQL strongly preferred Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis
- Knowledge of various machine learning techniques and key parameters that affect their performance
- Evidence of using of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects
- Excellent written and verbal communication skills for both technical and non-technical audiences
How to use the world’s richest collection of e-commerce data to improve payments experience for our customers? Amazon Consumer Payments Data Science team seeks a Data Scientist for building analytical solutions that will address increasingly complex business questions in the Payments space.
Key job responsibilities
- Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard regression and classification techniques such as Random Forest, XGBoost package, Keras framework
- Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area
- Innovate by adapting new modeling techniques and procedures
- You should be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets
- You will implement data flow solutions that process data real time on message streams from source systems
- You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion.
- Your teams will work with distributed machine learning and statistical algorithms upon a large Hadoop cluster to harness enormous volumes of online data at scale to serve our customers
Bengaluru, KA, IND
- Previous experience in a ML or data scientist role with a large technology company
- Previous experience of building and implementing scalable ML solutions that added value to businessExperience in creating powerful data driven visualizations to describe your ML modeling results to stakeholders
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