Senior Decision Scientist, Decision Sciences
Technology, Data & Digital · Data, AI & Analytics · Data Science
In short
Axio Digital Pvt Ltd is seeking a Senior Decision Scientist to design, build, and deploy machine learning models for credit risk assessment, income estimation, and fraud detection. The role involves close interaction with business teams, developing and deploying ML solutions, and optimizing existing models.
Responsibilities
- Design, build, and deploy machine learning models and analytical frameworks for credit risk assessment, income estimation, fraud detection, and portfolio optimization.
- Work with credit bureau data, transactional data, and alternative behavioral signals.
- Understand lending business, products, data, regulatory context, and Data Science practices.
- Interact closely with risk, product, and collection teams to understand business challenges.
- Define, design, and implement complex ML solutions for credit lifecycle stages (scoring, prediction, optimization, fraud detection).
- Create robust model validation, monitoring, and governance solutions compliant with regulatory requirements.
- Assist the Decision-Engine team in deploying ML solutions in production with sub-second latency.
- Develop new modeling techniques and analytical frameworks for innovative lending products.
- Drive end-to-end delivery of scalable data pipelines from ideation to production deployment.
- Optimize performance and accuracy of existing ML solutions.
- Derive actionable insights from massive and diverse datasets.
- Lead analytical design and implementation for new global market geographies.
- Mentor junior team members in data science best practices.
- Present findings and recommendations to senior leadership.
Requirements
- 5+ years of data scientist experience.
- 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab).
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent work experience.
- Experience applying theoretical models in an applied environment.
- Knowledge of machine learning concepts and their application to reasoning and problem-solving.
Desired Qualifications
- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2.
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive).
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions.
- Experience working on multi-team, cross-disciplinary projects.
- Experience in defining and creating benchmarks for assessing GenAI model performance.
- Experience effectively communicating complex concepts through written and verbal communication.
Benefits
- Inclusive culture empowers Amazonians to deliver the best results for customers.
- Workplace accommodation and adjustment support for individuals with disabilities.
#Data Science#Machine Learning#Fintech#E-commerce#Credit Risk
Company
Amazon
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Senior
Locations
Pune, India
Qualification
Master
Applicants
Be an early applicant