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12/05 HR
HR at Recruise India Consulting

Views:23177 Applications:318 Rec. Actions:Recruiter Actions:99

Data Analytics/Data Science Professional - BFSI (1-4 yrs)

Anywhere in India Job Code: 450719

Location : Bangalore

Roles & Responsibilities:

- Model development & Deep-dive Strategic Analysis:

- Data extraction: Extract data from appropriate sources in a complex warehousing / Hadoop environment. Require in-depth knowledge of data elements.

- Data processing: Perform complex data processing (e.g. merging, sorting, data transformations) using R, Access, or other ETL tools on PC

- Profiling and analysis: Combine in-depth business knowledge, insights, and techniques such as data visualization, cross-tabs, statistical tests, and data mining techniques to identify Workforce insights, behavioral trends, Associate Experience and retention opportunities

- Model development: Apply standard and cutting-edge techniques (statistical modeling, data mining, predictive analytics, machine learning, and optimization) to identify drivers of a business metric. Compare techniques using validation to arrive at the best model

- Model scoring and business applications of modeling/analytics:

- Insert developed models into the scoring process

- Act as a consultant to the larger team and HR sponsors on usage of models

- Directing and delivering solutions:

- Project and time management skills with an ability to set and maintain priorities in a multi-task environment

- Ability to achieve distinct results in a complex matrix environment & to influence action without direct authority through collaborative, consultative approach & strong relationship building skills

- Works in a team with other resources on projects, including providing coaching on workforce problems, guidance on methodologies, quality assurance of results, managing deliverables and presentations of results

Experience, Skills and Qualifications :

- Subject matter expert of Decision Sciences areas (predictive modeling, data mining, deep-dive strategic analysis)

- Expertise in R, Python, Hadoop, base SAS, SAS EG, and SQL

- Predictive analytics techniques (Survival Analysis, Logistic regression etc.) will be an added advantage

- Advanced statistical training including experimental design and statistical analysis

- Familiar with data in warehouse environment

- Familiarity with DV Tools like D3, Tableau

Education and Experience :

- Post graduate degree in Economics, Statistics, Mathematics or similar quantitative discipline or MBA from a premier school

- 3-5 years of experience in data modeling and predictive analytics, having a flair for Quantitative Analysis with software tools & packages like R, Python, SAS and SQL would be considered.

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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