Job Views:  
1271
Applications:  25
Recruiter Actions:  15

Posted in

IT & Systems

Job Code

534804

AAVAS Financiers - Senior Data Scientist - Housing Finance Domain

7 - 15 Years.Jaipur
Posted 6 years ago
Posted 6 years ago

Company - AAVAS FINANCIERS LTD.

Work Location - Jaipur

Role - Senior Data Scientist

Domain - Housing Finance (Indian markets)

Desired Qualifications -

- Masters in Statistics/Economics/Mathematics OR B.Tech/BE from Tier 1 / 2 Colleges

- Hands on End to End predictive model development and implementation experience of 7+ years

- Extensive knowledge of SAS and/or R and/or Python

- Knowledge of credit risk domain shall be an added advantage

- Excellent analytical and communication skills Proactive attitude

About the role -

Job Description:

- Provide thought leadership around advanced analytics / machine learning techniques

- Mentor, Guide and Train the team

- Liaise with the senior management / stakeholder to understand the business requirements and manage expectations

- Conceptualize, design and deliver high-quality solutions and insightful analysis on a variety of projects ranging in both complexity and scope

- Research and innovation; requirements gathering; solution scoping and architecture; providing advanced statistical and machine learning solutions to different business functions

- Proficiency in translating business requirements into analytical framework

- Strong technical knowledge in Machine Learning algorithms, Deep Learning Algorithms and Advanced Analytics tools and techniques

- Proficiency in multiple analytical methods like linear & logistic regression, Decision Tree, Time Series, Segmentation and Profiling, Cluster Analysis, Data reduction methods - FA/PCA, Random forest, Neural Network, Bayesian Networks, SVM, Gradient Boosting, Ensemble Models etc.

- Strong communication, self-motivated and a team player.

Didn’t find the job appropriate? Report this Job

Job Views:  
1271
Applications:  25
Recruiter Actions:  15

Posted in

IT & Systems

Job Code

534804

UPSKILL YOURSELF

My Learning Centre

Explore CoursesArrow