Senior Leadership Role - Data Science - BFSI Sector

- Need candidates with experience in Natural language programing and next level generation ( NLP / NLG )

- Explore large datasets to surface useful trends, signals, and segments.

- The role drives business and industry solutions focused on Big Data and Advanced Analytics, in diverse domains such as product development, pricing, marketing research, public policy, optimization and risk management.

- The role uses analytics to provide predictive, prescriptive, and decisive insight:

- Translate business objectives into analytic approaches, and identify data sources to support analysis.

- Analyze and model structured data using advanced statistical methods

- Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.

- Analyze data using SAS, R, Python, Java, open source packages and commercial/enterprise applications.

- Perform machine learning, text analytics, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods.

- Implement algorithms and software needed to perform analyses

- Drive client engagements focused on Big Data and Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management.

- Interface with databases (SQL, NO SQL, HDFS) to extract, transform and load data

- Communicate results and educate others through reports and presentations.

Essential skills required :

Education / professional qualifications :

- Masters, or PhD in Computer Science, Statistics, Mathematics

Prior Experience :

- Masters, or PhD in Computer Science, Statistics, Mathematics,

- Engineering, Bioinformatics, Physics, Operations Research, or related fields, with 5+ years of relevant experience

Technical skills :

- Ability to break down complex problems, and develop strategies to solve them

- Masters, or PhD in Computer Science, Statistics, Mathematics,

- Engineering, Bioinformatics, Physics, Operations Research, or related fields, with 5+ years of relevant experience

- Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

- Expertise in at least one of the following fields: machine learning, data visualization, statistical modeling, data mining, or information retrieval

- Develop and apply machine learning, and statistical analysis methods, such as classification, collaborative filtering, association rules, time-series analysis, advanced regression methods and hypothesis testing

- Strong data extraction and processing, using NoSQL, MapReduce, Pig, and/or Hive preferred

- Experience with command-line scripting, data structures and algorithms

- Ability to work in a Linux environment, and process large amounts of data in a cloud environment

- Proficiency in analysis ( e.g. R, SAS ) packages, and programming languages ( e.g. Java, Python, Ruby )

Behavioral / team skills :

- Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations

- Flexibility to adapt to a variety of engagement types, working hours and work environments and locations, strong time management skills

- Excellent written and verbal communication skills Team player; self-driven and ability to work independently

- Team player; self-driven and ability to work independently