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28/08 Aishwarya Shivam
Management Trainee at HuQuo

Views:388 Applications:107 Rec. Actions:Recruiter Actions:29

Assistant Manager - Data Scientist - Insurance (2-7 yrs)

Gurgaon/Gurugram Job Code: 970909

Assistant Manager - Data Scientist/ NASDAQ Org.


Role Overview:

- The person will be part of data science team for a major US insurance client.

- Doing independent research, analyze, and present data as assigned.

- Developing statistical models in SAS, Python/R.

- Develop detailed SAS/Python/R codes for data preparation and model scoring to be used in production.

- Critically examine and deep dive into models and improving model performance.

- Prepare detailed documentation of models output, performance and all the steps involved.

- Assist in learning and development of new team members.

- Identify and participate in continuous improvement initiatives.

Key Responsibilities:

- Complete understanding of business objective/problem statement as well as modeling goals.

- Experience in data extraction and data manipulation in SAS, Python/R and Excel.

- Data exploration, data preparation (outlier treatment, missing value imputation, variable transformation etc.), model building, model validation, optimization and scoring using SAS/Python/R.

- Preparing detailed documentation of models output results (of different iterations), model performance, feature importance and all the steps involved to optimize the model performance.

- Adhere to project deliverables and controls.

- Experience in data control and data automation.

- Good written and verbal communication skills.

Candidate Profile:

- Bachelor- s/Master's degree in computer science, mathematics, statistics.

- 2-7 years experience, preferably in data science/marketing analytics/building predictive models.

- Should be really proficient in building predictive statistical models (look alike/response models).

- Should have experience working on techniques like Logistic Regression, Decision Trees, Random Forest, GBM, XG-Boost, K-Means Clustering etc.

- Superior analytical and problem solving skills.

- Ability to take initiative, quick learner and innovative.

- Outstanding written and verbal communication skills.

- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges.

- Is able to understand cross cultural differences and can work with clients across the globe.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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