APM/PM - (Predictive Analytics) - Mumbai/Pune (2-8 Years Of Experience)

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APM/PM - (Predictive Analytics) - Mumbai/Pune (2-8 Years Of Experience)

A Client of Analytics Vidhya

Mumbai, Pune INR 4 - 8 LPA Experience : 2 - 8 YRS. Openings: 1


Job Description and Responsibilities:

 2-5 years of experience in advanced analytics/ predictive modeling. Candidate should have worked hands on in developing predictive models in some of these areas - cross-sell / up-sell strategies, market segmentation, demand forecasting, price optimization, time to event, survival analysis etc 

Mandatory Skills :

- Must be well versed with atleast one (1) of following tools - R, SAS, SPSS

- Must have good knowledge / hands-on experience of statistical concepts like hypothesis testing, distributions etc

- Must have good knowledge / hands-on experience of atleast some of the applied statistical techniques including multivariate regression, logistic regression, ARMA/ ARIMA, clustering, survival etc

- Excellent presentation and communication skills (written and verbal) and comfortable presenting at senior levels

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

Qualification: Masters in statistics/mathematics/economics or MBA from a reputed institute

Preferred Skills :

- Knowledge / hand-on experience of at least two (2) of the following tools - VBA, SQL, MS Excel, Tableau

- Ability to present results of statistical models in business language

- Experience for building predictive models for varied industries - Retail, hospitality, technology hardware, software etc

- Experience in handling large datasets

- Exposure to multiple statistical tools

- Excellent interpersonal skills - ability to network and earn confidence of diverse Client personnel plus interaction with management of eClerx India based operations team

Min. Qualification:


Skills Required:

arima, excel, logistic regression, multivariate analysis, predictive modeling, r, Retail Analytics, sas, spss, sql, statistical techniques, tableau, VBA

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