Title: Data Scientist Lead
Role Purpose
The purpose of the role is to define, architect and lead delivery of 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 in creating solutions and propositions for proactive demand generation
- Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales
- Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses
- Support Go-To-Market strategy
- Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions
- Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions
- Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options
- Integrate model performance management tools into the current business 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 enhance capability & effectiveness
- Manage team attrition
- Performance Management
- Conduct timely performance reviews and provide constructive feedback to own direct reports
- Be a role model to team for five habits
- Resourcing
- Ensure that the Performance Nxt is followed for the entire team
- Employee Satisfaction and Engagement
- 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, knowledge sharing | |
External | Clients | Deliver client projects and gain trust of client |
Academia/ College/Universities | Collaborate on research initiatives, Trainings, Data Science Courses |
Display
Lists the competencies required to perform this role effectively:
- Functional Competencies/ Skill
- Domain/Industry Knowledge – Awareness and knowledge of industry 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 problem solving in a complex environment - Foundational
- Leveraging Technology – In-depth knowledge of and mastery over technology domain that commands expert authority respect – Competent
- Research Orientation – Knowledge of research methods, relevant theoretical concepts and implementations and experimentation led approach to drive results - Competent
Competency Levels | |
Foundation | Knowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance. |
Competent | Consistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well. |
Expert | Applies the competency in all situations and is serves as a guide to others as well. |
Master | Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognised 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 % |