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06/08 Cheryl
Delivery Leader - Analytics & Data Science at Rinalytics Advisors

Views:2751 Applications:63 Rec. Actions:Recruiter Actions:35

Lead - Data Scientist - Consulting Firm (8-12 yrs)

Bangalore Job Code: 601315

On an Embark for a Data Sciences lead with hands on experience in R/Python along with team handling experience.

Role Description:

- Work closely with a diverse set of stakeholders

- Hands-on role in the development, evaluation and deployment of data-driven client segmentation, next-best-action predictive models, and related machine learning algorithms.

- Handle various ad-hoc and ongoing strategic analytics projects.

- Documentation of the Advanced Analytics teams- new and existing models / algorithms and processes as required

- Lead, coach and mentor a team of analysts

- Work with relevant stakeholders to scope the project, identify challenges/dependencies and proactively communicate with stakeholders and the project team

Required Experience and Skills :

- About 8-12 years of overall experience in Business Analytics, with at least 3 years- experience developing statistical/mathematical models, and at least 2 years in a project management or people leadership role

- Minimum of 5 years- experience using data science and modelling tools such as SAS, SPSS, Python or R against large data sets.

- Proficiency in using SQL, Hadoop/Spark for data extraction and analysis

- Leverage data visualization tools such as Tableau and Qlik Sense/QlikView

- Expertise in the application of statistical techniques like: Time Series, Multiple linear regression, logistic/logit models, simulation modelling, and survival analysis

- Practical experience using multivariate and/or ML methods for classification, clustering and estimation, such as Decision Trees, Random Forests, CART/CHAID, Extreme Gradient Boosting, Ridge Regression, PCA and SVM

Educational

- B Tech in a quantitative discipline such as Engineering, Computer Science, Mathematical Statistics, Operations Research/Management Science, Physics or Economics/Econometrics required; Masters degree in similar disciplines and/or MBA with quantitative concentration strongly preferred.

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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