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Director at HuQuo Consulting Pvt. Ltd.
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Associate Vice President - Data Science - IIT/IIM/ISB/XLRI (7-10 yrs)
Job Responsibilities :
The Senior Data Scientist will play a critical role in helping this transformation. The role is for Lead that is a blend of a Python ,SQL ,ML Engineer and a data scientist that also has extensive experience in the financial industry and in particular credit risk modeling. The core responsibilities of him/her will include but are not limited to :
1. Implementing prototypes of various Data Science Components/Apps
- Writing Python/Spark SQL code to implement prototypes from scratch
- Working closely with the core engineering team to move forward model build of the analytics products
- Suggesting ML techniques
- Building enhanced user-friendly dashboards for various steps in the pipeline
- Assisting in connecting new data assets to our end-to-end modeling platform
2. Predictive Modeling Framework Development
- Building Generic Credit Risk and Propensity Scores
- Building highly specialized predictive models and overall process flows
- Supporting deployments of ML models
- Building reporting and monitoring frameworks
3. Applying Data Science Knowledge to solve problems for clients
- Usage of Advanced machine learning techniques to solve ad-hoc client problems
- Bringing new ideas how to approach general problems in credit risk management
- Having fundamental knowledge in general processes around targeting, Fraud detection, acquisitions, Account management, collections
- Writing data pipelines / ETL for non-standard or new modeling use cases
- Build new dashboards and reports to provide insights to clients on model performance and impact, leveraging our proprietary BI toolkit
- Helping document methodologies, tool usage and business logic
- Testing new product features and algorithms and verify accurate implementation ahead of live release to our global client base
- Implementing bug-fixes and upgrades to Experian methodologies in credit-related business logic
Key Skills :
- 3-5 years of industry specific experience
- 7-10 years of data science and data engineering experience
- Programming needs to come natural to the individual
- Fluent in at least one traditional programming language
- Extremely familiar with Python PySpark and SparkSQL and familiarity with modern data science and engineering technologies in general and common ML frameworks such as (MLlib, pytorch, sklearn, tensorflow all valuable)
- Extensive experience with scrapping data and parsing unstructured data
- Expertise in applied statistics and machine learning - advanced degrees in quantitative fields and/or professional experience in applied analytics are valuable
- Master's degree in quantitative field required
- Experience in financial services and credit modeling
- Commercial mindset, focused on what the customer really needs
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