AVP, Text Mining/NLP - Data Science and Insights-COR027182

The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer's business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools, * Develop transformative AI/ML solutions to address our clients' business requirements and challenges.

• Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning
• Manage Stakeholder/Customer Expectations
• Project Blue Printing and Project Documentation
• Creating Project Plan
• Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc.
• Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines
• Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap.
• Work with digital development teams to integrate and transform these algorithms into production quality applications
• Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers

Now, we're calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing. People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower., The candidate should be PhD in Computer Science, Information systems, or Computer engineering, Systems Engineering with experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms.

Or

Full cycle experience desirable in at least 1 Large Scale Text Mining/NLP project from creating a business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework., * Open-Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as Dialog Flow, MS LUIS

• Exposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS-Text Miner
• Strong Core Java experience in large scale product development and functional knowledge of RDBMs
• Hands on to programming in the Hadoop ecosystem, and concepts in distributed computing
• Very good python/R programming skills. Java programming skills a plus

Methodology

• Solutioning & Consulting experience in verticals such as BFSI, CPG, Healthcare, Insurance with experience in delivering text analytics on large structured and unstructured data.
• A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU
• Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc.
• Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client's analytics agenda with newer tools and techniques, Bachelor's / Graduation / Equivalent

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter , Facebook , LinkedIn , and YouTube . Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.