Avp, Machine Learning Expert

**_With a startup spirit and 115,000 + curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it We dream in digital, _**_dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. _**_We’re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people._**

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**_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._**

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**_Welcome to the relentless pursuit of better._**

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**_Exposure to Machine Learning & Quantitative Methods in Marketing / Consumer Behavior is _**_a must. Full cycle Real-world Analytics project experience is highly desirable: from creating a _**_Business use case, PA assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management._**

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**_ Responsibilities_**:**_ _**

**_ Focus of the Function: _**

**_There are 3 areas that this role will focus on in order of importance: _**
- **_ _**_Consultant - Providing thought leadership and best practices related to Predictive Analytics / Machine Learning Solutions to Genpact’s customers. Identify specific capability, practices, tools, and people that the organization would need to develop. [Type text] Machine Learning Expert -Data Science and Insights _**
- **_Solutioning - Conceptualize and develop relevant Predictive Analytic solutions for our Analytic Customers. Envisioning opportunistic areas with our clients by demonstrating relevant and credible Predictive Analytics solutions and paradigms. _**_The role may entail carrying out high level assessment of customer Analytics readiness and creating the associated analytic benchmarking which may ultimately converge into a client specific Predictive Analytics roadmap._**

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- **_Pre-Sales - Lead / Collaborate in response to Predictive Analytics / Machine learning based RFI/RFP_**

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**_Key Roles and Responsibilities _**:
**_The key responsibilities of the Predictive Analytics Leader are:_**

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- **_Provide Strategic Onsite Consulting & Solutioning to customers/Genpact during their Analytics adoption journey _**
- **_Creation of Genpact _**_Cora(AI-Based Platform) Solution Roadmap and Commitment / Responsibility for implementing the same in conjunction with technology specialists _**
- _Work in conjunction with Presales / BD teams, your program manager, and other stakeholders towards spotting and converting short cycle mining opportunities that may arise from time to time._

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- **_Participate in _**_SME reviews of Predictive Analytics opportunities/ engagements_**

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- **_Actively collaborate with competency leaders in Big Data, _**_OR, _**_BI areas to stich big ticket solutions with end-to-end span._**

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- **_Jump-start Machine Learning projects with _**_customer with focus on providing disruptive insights in reasonable _**_timeframes._**

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- **_Jump start _**_IOT projects on semi structured data (Machine logs / sensor data etc.)._**

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**_ Qualifications we seek in you_**:**_ _**_Minimum Qualifications / Skills_**

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**_ Specific Competencies - Essential_**

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**_ Technology_**

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- **_Exposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS _**
- _Very_good Python/R programming skills. Java programming skills a plus_

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- **_Direct involvement in working with large volumes of data and building, deploying, and measuring predictive analytics models (i.e., SVM, decision tree, clustering, logistic regression, linear and non-linear regression)_**

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- **_Deep learning frameworks such as TensorFlow, Keras, Torch, Theano_**

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**_ Methodology_**

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- **_Analytic Solutioning & Consulting experience in verticals such as BFSI, _**_CPG, with experience in delivering analytics on large structured and unstructured data corpuses_**

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- **_Proven expertise in Quantitative modeling for Marketing Insights and Solid understanding of Consumer behavior theories and models._**

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- **_Proven expertise in deriving insights from _**_large distributed databases._**

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- **_Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques_**

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- **_ Preferred Qualifications/ Skills_**_ _**

**_ Specific Competencies - Desirable_**

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**_ Technology_**

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- **_Understanding of GraphDB and tools such as Neo4j etc_**

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- **_Understanding of NLP, NLU and Machi