Senior Data Scientist - Service Modernization

Senior Data Scientist - Service Modernization About Service Modernization
From time immemorial, humans have been of service to each other in a myriad of ways using their intellect, language, and experience. However, with the invention of machines, machines also began to serve humans. Over time, machines have become extraordinarily sophisticated particularly with the advent of AI. Today, a Service Provider and a Service Recipient could be a human or a machine providing services to each other.

In this context, Service Modernization refers to a comprehensive suite of AI use cases that enable enterprises to serve and service its customers across various touchpoints by:

• Having an acute understanding of each customer's service profile
• Delivering superior service experiences proactively, preemptively and on-demand with an appreciation of the context, persona, and journey
• Using machine learning algorithms to optimize and automate an enterprise's service operation

• Works with the business team and functional architect to outline detailed data science requirements
• Researches and develops statistical learning models for solving business problems
• Develops the data requirements in conjunction with the data architect for model training and validation
• Has responsibility for the overall functionality and associated outcomes of the models
• Works in close collaboration with the architects to create ML solutions
• Keeps up to date with latest technology trends
• Communicates results and ideas to key decision makers
• Implements new statistical or other mathematical methodologies as needed for specific models or analysis
• Works on data exploration, data analysis and presentation of data insights to the broader teams

• 15+ years of development experience with 7+ years practical experience with SAS, R, ETL, AI/ML, data processing, database programming and data analytics
• Deep expertise in developing causal analysis
• Strong leadership capabilities with experience in collaborating and leading, mentoring, and engaging teams
• A Bachelor's degree in Computer Science, Statistics, Applied Math, or related field is required. A Master's degree and Ph.D. in the same is a strong plus
• A solid track record of developing learning algorithms and systems, an extensive background in data mining and statistical analysis, and expertise in various data structures and common methods in data transformation
• Excellent pattern recognition and predictive modeling skills with a demonstrated ability to visualize data and present core insights in a clear and compelling way
• Extensive background in data mining and statistical analysis
• Candidate should be able to multi-task with rapid prototyping, agile development environments
• Ability to visualize data and present core insights in a clear and compelling way
• Able to understand various data structures and common methods in data transformation
• Experience with Machine/Deep learning software packages like TensorFlow, Spark ML, R, etc.
• Hands on experience in deep learning within areas of reinforced learning, computer vision, natural language processing, classification, regression etc.
• Proficient in machine learning tools like Jupyter notebook, python, and ML components in cloud (like Azure, GCP, OCI)
• Experience with Big Data technologies
• Strong industry and/or domain knowledge in Retail; Banking and Healthcare is a plus
• Experience with programming languages such as Java/SQL a plus
• Experience with Big Data technologies is a plus