Data Scientist II, International Machine Learning
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning
In short
Join an innovative team of scientists at Amazon as a Data Scientist II in Gurugram, India. You will use machine learning and statistical techniques to create state-of-the-art solutions, analyze terabytes of data, and build/deploy advanced ML systems to optimize millions of transactions and impact company profitability. This role offers the chance to lead projects, mentor others, and work on novel ML solutions for emerging markets.
Responsibilities
- Use machine learning and analytical techniques to create scalable solutions for business problems.
- Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes.
- Design, develop, evaluate, and deploy innovative and highly scalable ML models.
- Work closely with software engineering teams to drive real-time model implementations.
- Work closely with business partners to identify problems and propose machine learning solutions.
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model maintenance.
- Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production.
- Lead projects and mentor other scientists and engineers in the use of ML techniques.
Requirements
- 2+ years of data scientist experience.
- 3+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab).
- 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance.
- Experience applying theoretical models in an applied environment.
- Experience in developing ML models across the credit lifecycle (Pre underwriting, underwriting, post underwriting, collections etc.).
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions.
- Experience effectively communicating complex concepts through written and verbal communication.
Desired Qualifications
- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM).
- Knowledge of machine learning concepts and their application to reasoning and problem-solving.
- Experience in a ML or data scientist role with a large technology company.
- Experience converting insights into strategy and communicating complex ideas clearly and logically in written communication.
- 3+ years of experience in developing ML models across the credit lifecycle (Eligibility, underwriting, collections etc.).
- 3+ years of experience in Fintech, lending, or credit risk.
Benefits
- Inclusive culture empowers Amazonians to deliver the best results for our customers.
- Disability accommodation and workplace adjustment during the application and hiring process.
#machine learning#data science#big data#statistical modeling#quantitative sciences#business problems#data analysis#model development#model validation#model maintenance#python#sql
Company
Amazon
Job Posted
3 weeks ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Gurugram, India
Applicants
Be an early applicant