Data Scientist Lead

Wipro
Irving, IL Full Time
POSTED ON 4/18/2022 CLOSED ON 6/3/2022

What are the responsibilities and job description for the Data Scientist Lead position at Wipro?

 

Role Purpose

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

 

Do

 

  1. Demand generation through support in Solution development
    1. Support Go-To-Market strategy
      1. Collaborate with sales, pre-sales &consulting team to assist increating solutions and propositions for proactive demand generation
      2. Contribute to development solutions, proof of concepts aligned tokey offerings to enable solution led sales
    2. Collaborate with different colleges and institutes forrecruitment, joint research initiatives and provide data science courses

 

  1. Revenue generation through Building & operationalizingMachine Learning, Deep Learning solutions
    1. Develop Machine Learning / Deep learning models for decisionaugmentation or for automation solutions
    2. Collaborate with ML Engineers, Data engineers and IT to evaluateML deployment options
    3. Integrate model performance management tools into the currentbusiness infrastructure

 

  1. Team Management
    1. Resourcing
      1. Support recruitment process to on-board right resources for the team
    2. Talent Management
      1. Support on boarding and training for the team members to enhancecapability & effectiveness
      2. Manage team attrition
    3. Performance Management
      1. Conduct timely performance reviews and provide constructive feedbackto own direct reports
      2. Be a role model to team for five habits
  • Ensure that the Performance Nxt is followed for the entire team
  1. Employee Satisfaction and Engagement
    1. Lead and drive engagement initiatives for the team

 

 

Stakeholder Interaction

 

Stakeholder Type

Stakeholder Identification

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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