HomeData Science JobsWipro Limited | Hiring | Data Scientist Lead | BigDataKB.com | 08-04-2022

Wipro Limited | Hiring | Data Scientist Lead | BigDataKB.com | 08-04-2022

Job Location: Hyderābād

 Overview:


Role Purpose


The purpose of the role is to define, architect and lead deliveryof machine learning and AI solutions.


Do


  • Demand generation through support in Solution development


    • Support Go-To-Market strategy

      • Collaborate with sales, pre-sales &consulting team to assist increating solutions and propositions for proactive demand generation
      • Contribute to development solutions, proof of concepts aligned tokey offerings to enable solution led sales

    • Collaborate with different colleges and institutes forrecruitment, joint research initiatives and provide data science courses

  • Revenue generation through Building & operationalizingMachine Learning, Deep Learning solutions

    • Develop Machine Learning / Deep learning models for decisionaugmentation or for automation solutions

    • Collaborate with ML Engineers, Data engineers and IT to evaluateML deployment options
    • Integrate model performance management tools into the currentbusiness infrastructure

  • Team Management

    • Resourcing
      • Support recruitment process to on-board right resources for the team

    • Talent Management

      • Support on boarding and training for the team members to enhancecapability & effectiveness
      • Manage team attrition

    • Performance Management

      • Conduct timely performance reviews and provide constructive feedbackto own direct reports
      • Be a role model to team for five habits
  • Ensure that the Performance Nxt is followed for the entire team

  • Employee Satisfaction and Engagement

    • Lead and drive engagement initiatives for the team
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Stakeholder Interaction


Stakeholder Type


Stakeholder Identification

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Purpose of Interaction


Internal


Practice Head/ Lead


Requirements & inputs to device ML solutions


Sales Team, Pre-Sales, Consulting


Support in defining AI/ML propositions to drive opportunities


Talent Transformation Team, Competency Group


Plan and support delivery of Technical Trainings, knowledgesharing

External


Clients


Deliver client projects and gain trust of client

Academia/ College/Universities


Collaborate on research initiatives, Trainings, Data ScienceCourses


Display


Lists the competencies required to perform this role effectively:


  • Functional Competencies/ Skill

    • Domain/Industry Knowledge – Awareness and knowledge ofindustry and functional knowledge on the area of work –Foundational
    • Market Intelligence – Understanding of the practice domain,overall market & competition and nuances of delivery in that domain– Foundational
    • Systems Thinking – Understanding of the Wipro system(interrelatedness, interdependencies and boundaries) and perform problemsolving in a complex environment – Foundational
    • Leveraging Technology – In-depth knowledge of and mastery overtechnology domain that commands expert authority respect –Competent
    • Research Orientation – Knowledge of research methods, relevanttheoretical concepts and implementations and experimentation ledapproach to drive results – Competent


Competency Levels


Foundation


Knowledgeable about the competency requirements. Demonstrates (inparts) frequently with minimal support and guidance.


Competent


Consistently demonstrates the full range of the competencywithout guidance. Extends the competency to difficult and unknownsituations as well.


Expert


Applies the competency in all situations and is serves as a guideto others as well.


Master


Coaches others and builds organizational capability in thecompetency area. Serves as a key resource for that competency and isrecognised within the entire organization.


  • Behavioral Competencies


    • Innovation

    • Client centricity

    • Execution excellence

    • Passion for results

    • Team Management

    • Stakeholder Management


Deliver


No.


Performance Parameter


Measure


1.

Demand generation


Order booking


2.

Revenue generation through delivery


Timeliness, customer success stories, customer use cases


3.

Capability Building & Team Management


% trained on new skills, Team attrition %

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