Senior Lead - Business Analytics & Research

- Understanding and identifying the business requirements and needs in the areas of Big Data Analytics and Artificial Intelligence.

- Scanning the fast paced external and internal environments in these areas, developing futuristic ideas that would benefit the firm and leading implementation of mathematical/AI models/algorithms/solutions to bring those ideas to life. Specific experience in AI areas like deep learning, genetic algorithms will be an advantage.

- Possess extensive knowledge of and experience in applying statistics, data mining, machine learning and deep learning techniques in a professional context

- Candidate should be expert in handling various data types and structures: structured, unstructured, voice, image and video data, static versus streaming data. Extensive prior experience in integrating data, profiling, validating and cleansing data in Big Data platforms is a must.

- Should have extensive experience with relational, NO-SQL and Graph databases.

- High level of proficiency in statistical tools and programming environments like Python, R, SAS, Big Data platforms like Hadoop, Spark is a must.

- Must possess good programming languages skill in Python/Java/C/C++

- Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe is preferred.

- Exposure to Graph Databases like GraphX, Neo4j and semantic web applications will be preferred.

- Have the ability to discover new opportunities where analytical techniques can be leveraged for solving business problems.