Job Location: Mumbai
Role/Job Title: Lead – Data Science
Business: Data & Analytics
Function/Department: Data & Analytics
Place of Work: Mumbai
Job Purpose:
‘The Lead – Data Science role
- Establishes and drives modelling tools and techniques
- Leads the team in identifying opportunies for adding business value
- Leads a high performing team of Data Scientists
Roles & Responsibilities:
‘- Understands business problems and solving them with analytical techniques
- Establish analytical framework for different business problems and drives outcomes
- Identify and scope business requirements and priorities through rigorous information gathering and analysis as well as clarification of the solutions, initiatives and programmes to enable effective delivery.
- Specify and create data structures and models, including the setting of various parameters and fields that can be modified to suit different structured and unstructured data requirements, the design of data flow, as well as the development of mechanisms for maintenance, storage and retrieval of data based on the business requirements
- Develop and implement guidelines, processes and workflows across the organisation for the handling of data at various stages in its lifecycle as well as the provision of advice on proper data handling and resolution of data breaches in a range of complex, ambiguous or multi-faceted contexts
- Develop a robust and coherent data strategy and support architectures, policies, practices and procedures that enable the organisation to manage and utilise data in an effective manner.
- Implement latest machine learning / AI techniques, dynamic visual displays with illustrative and interactive graphics to present patterns, trends, analytical insights from data or new concepts in a strategic manner for the senior stakeholders across the organization
- Monitor and integrate emerging technology trends and developments, structured data gathering for the identification of new and emerging technological products, services and techniques.
- Design and refine solutions to guide the development of tech solutions to meet current and future business modelling needs.
- Manage stakeholder expectations and needs by aligning those with requirements and objectives of the organisation.
- Identify and evaluate innovative business opportunities provided by new technologies to establish new services or businesses to enhance customer value.
- Develop, select and apply machine learning algorithms, models and advanced computational methods to enable systems to learn, improve, adapt and produce desired outcomes or tasks. This also involves the interpretation of data, including the application of data modelling techniques to explore and address a specific issues or requirement
Managerial & Leadership Responsibilities
‘- Develops individual talent by providing ongoing feedback and creating individual development plans to enable people to reach their full potential
- Recognizes the current needs and identify problems in order to provide practical solutions for them in light of the “big picture”. Display the ability to identify root cause, critically reviews facts and understand the complex interrelatedness amongst various business activities.
- Provides authentic feedback consistently and shares developmental guidance. Recognizes individual’s achievements & offers positive reinforcement through various channels
- Leads research and training activities for the team
Key Success Metrics:
‘- Creation of modelling frameworks
- Use cases for implementation of analytics
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