Senior Vice President - Data Scientist - KPO

Core Responsibilities : 

- Develop new Solutions that have high impact on revenue, expense management or customer experience

- Thought Leadership: Working with the site leadership and help define the agenda for Next Generation analytics (Big Data and machine learning)

- Business Development: Showcase analytic solution capabilities of the Data Science team to various internal stakeholders (Analytics and Business) and get business problems from various businesses to solve

- Consulting: Advise businesses on new ways to solve business problems, inform them of industry practices that can improve business metrics

- Relationship Management and Communication: Effectively communicate strategic considerations with team, partners and senior management. Use advanced Platforms (Big Data) and capabilities (Machine Learning) to improve ability to engage with customers

- Developing Strong capabilities in Big Data, Machine Learning and Pattern mining : Build solutions that improve customer targeting- like personalized offers (Recommender systems), Pricing/Product optimization, Journey mapping, Customer Acquisitions - Digital/Clickstream based real time offers and Channel management

- Industrialization of Big Data and Machine Learning industrializing best practices across markets to ensure scaled deployment of solutions with strong business demand

- Organizational Development: Institutionalize analytic next gen learnings across the site. Develop

Required Candidate Skills : 

- Signification exposure and proven ability in Deep learning, Natural Language processing and Understanding (NLP/NLU), Large Scale Machine Learning, Distributed systems for Machine learning

- Experienced in developing and deploying solutions in the space of machine learning in real-time platforms

- Proven problem solving skills in industrial settings - Ability to convert open ended business problems into analytical problems and developing solutions for them

- Competent programming aptitude with excellent computation and data mining skills - Competence in R, Python, SAS, SPSS, Java and Spark/Scala

Experience in : 

- Big Data/HADOOP

- Text Analytics - Ability to synthesize unstructured data and find actionable themes/insights

- Pattern Mining/Detection

- Machine Learning Classification Algorithms

- Deep Learning and Neural Networks

- Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management

- Self-motivated to continuously upgrade one's domain knowledge, keep abreast of latest developments in the field and evaluate its application in the business area on a consistent basis