Genpact - AVP - Data Science

Recruiter Divya Chaudhary : Taleo ID - ANA001465

WE are only looking for diverse candidates

Summary of Role / Profile:

Focus of the Function:

There are 3 areas that this role will focus on in order of importance:

Drive Operational Excellence - Ensure execution of critical Text Mining projects, including driving innovative implementation and insights derived from unstructured data.

Consultant - Providing thought leadership and best practices related to Text Mining to Genpact's focal customer. Identify specific capability, practices, tools, and people that the organization would need to develop. Social network modelling expertise using unstructured and structured data would be preferred

Solutioning - Conceptualize and develop relevant Text Mining solutions for the customer in focus. Envisioning opportunistic areas with our client by demonstrating relevant and credible Text Mining solutions and paradigms. The role may entail carrying out high level assessment of customer's Text Mining readiness and creating the associated analytic benchmarking which may ultimately converge into a client specific Text mining roadmap. Understanding client's current Text Mining projects / infrastructure and developing solutions that complement existing/ongoing efforts would be key.

Why does this job exist:

Genpact is developing a proprietary platform for enterprise data management, reporting and analytics - the Intelligent Process Insights Engine (IPIE). It provides our clients unprecedented agility, customization, stability and speed they are looking for in their reporting operations. IPIE has been designed from the ground up to accelerate the application of data science and information science in traditional and modern architectures to quickly drive value for our clients. IPIE is built on a resilient data management architecture that embraces the latest advances in big data technology, primarily from the open source community, while adopting necessary components based on major advances from the broader enterprise IT industry.

Fulfillment of platform not only requires a dense understanding of the technology and data science underpinning Text Mining and NLP applications, but also the ability to create and communicate solutions to internal and external customers in a lucid and effective manner. The Text Mining Scientist role is our attempt to ramp-up and fill this need in the Genpact organization.

How does the role add value :

Text Mining is now understood to be a key enabler for Analytics. Mining enterprise generated unstructured data is key to our client's understanding of compliance activity. Onsite presence would help Genpact to monetize opportunities in this high growth area. Additionally, Text Mining has natural adjacency to the Big Data, BI and MDM practices and hence the investment will further facilitate creation of chunkier deals through stitching end-to-end solution packages.

How is this role unique from others:

We currently have less expertise in formal Big Data Text Mining role within Genpact Analytics.

Who are the key relationships for this role:

The role would be interacting extensively with 3 other roles within the organization

- Bangalore Solutioning teams - To jointly create and develop products & solutions for the client

- Onsite BD team and Practice Leader: To commercialise products & solutions, and review progress, opportunities and customer feedbacks. Track and help create responses to RFI/RFPs that customer may be floating from time to time

What are the minimum prior qualifications to be an applicant for this role:

MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with 10+ years of relevant experience in Text Mining / Natural Language Processing (NLP) tools, and algorithms.

Or PhD in Computer Science, Computational Science or Engineering with 6+ years of industry experience in Text Mining / Natural Language Processing (NLP) tools, and algorithms. Exposure to Big Data Concepts would be preferred. Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management

What are the key initiatives & challenges facing this role in the next six months to three years:

- To engender Text Mining related conversations with existing Genpact focal customer. This is a replacement position so the incumbent would be responsible for taking over the relationship from where his/her predecessor left and grow it further.

- To nurture and grow the existing Text Mining relationship with the focal customer and opportunistically augment existing competency (in terms of people, tools, and practices) by sighting and converting business discussions in the current and related problem areas

- To participate in client POC engagements in onshore as well as offshore roles, and drive POCs to conversion.

- . To assist in the creation & implementation of Genpact's Text Analytics strategy and roadmap with quarterly milestones, for the focal customer and other similar customers at hand

Specific competences ( Essential)

Key Skills

- 8+ years Analytic Solutioning & Consulting experience in verticals such as BFSI, CPG, with atleast 6 years- experience in delivering text analytics on large structured and unstructured data corpuses

- Strong Exposure to Open Source Text Mining paradigms such as OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, Elastic Search

- Reasonable 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

- Reasonably well-exposed to programing in the Hadoop ecosystem, and concepts in distributed computing

- Reasonably well-exposed to concepts in Machine Learning & Statistics, esp., in their application to learning from large data sources.

- Proven expertise in deriving insights from large distributed databases.

- Demonstrated ability to Conduct look-ahead client relevant research with focus on supplementing and strengthening the client's analytics agenda with newer tools and techniques that can better answer business questions.

- Strong written and oral communications skills

Specific competences (Desirable) :

- OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene

- Social Network modeling paradigms, tools & techniques

- Text Analytics using Machine Learning tools such as Support Vector Machines and Social Network Analysis

- Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner

- Ability to Prioritize, Consultative mindset & Time management skills

Key Roles and Responsibilities Knowledge, Experience, Education External & internal contacts

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

The key responsibilities of the Text Mining Scientist are:

- Provide Strategic Consulting & Solutioning to customers and Genpact (IPIE platform) during their Text Analytics adoption journey

- Creation of Solution Roadmap and Commitment / Responsibility for implementing the same in conjunction with technology specialists

- Provide Onsite / Offshore solutioning support to BD and presales activities

- Participate in SME reviews of Text Mining & Big Data opportunities/ engagements

- Jump-start Text Mining projects with customer with focus on providing significant insights through large scale unstructured data analysis.

- - MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with 10+ years of relevant experience

- Or PhD in Computer Science, Computational Science or Engineering with 6+ years of industry experience in Text Mining and Natural Language Processing (NLP) paradigms and tools.

- Proven Expertise in Open Source Text Mining paradigms such as OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene

- Reasonable Exposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS-Text Miner

- Full cycle experience desirable in atleast 1 Text Analytics project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management

- Relevant Exposure to Big Data Concepts is desirable, e.g., Hadoop or HPCC and Designing Text Mining algorithms using such distributed computing platforms.

- Proven expertise in deriving insights from large distributed databases.