Details:

Job Description and Responsibilities

Dive deep into data and emerge with actionable nuggets of information thereby helping CSPs to monetize their vast reserves of data. Extract, analyze, correlate, model, interpret and transform data into business insights. Employ descriptive, diagnostic, predictive and prescriptive techniques to derive value. Mentor and guide team members from technical and business perspective.

Desired Skills 

 • One or more of the following: 

 • Working proficiency of machine learning techniques like Bayesian, Decision Trees, Neural Networks, Ensemble etc. 

• Knowledge of advanced statistical methods including multivariate statistical methods, discrete choice modeling, etc. 

• Working proficiency in at least one data mining tool (SAS, SPSS, R, RapidMiner, etc.) 

• Strong proficiency in SQL and working proficiency in at least one programming language/scripting (R, Python, BASH script, Pl/SQL) 

• Strong logical and quantitative skills with affinity for mathematics 

• Self-driven, exploratory mindset and comfortable with detail 

• Business acumen 

• Good communication skills 

• Open to travel/relocate to all worldwide locations 

Qualification/Experience 

• Bachelors with majors in IT/CS or MBA with analytics bent Graduates with majors in statistics/mathematics will have an additional advantage

Min. Qualification:

ug

Skills Required:

decision trees, ensemble methods, machine learning, multivariate analysis, neural network, python, r, sas, spss, sql, statistical modeling