As a key member of the Digital and Technology team, the Associate Manager Data Science, will be responsible to model complex problems, discover insights and automate workflows through statistical analysis, machine learning, generative AI and data visualization techniques using state of the art big data & AI technologies.
This involves co-creating data science initiatives with business, driving the adoption of advanced analytics and AI to achieve competitive advantage and operational excellence and support innovation.
The overall purpose of this role is to:
- Execute advanced data science projects, from conception to deployment, ensuring alignment with business objectives.
- Gain a thorough understanding and know-how of the on premise and cloud-based data warehouse and data lake.
- Continuously keeping updated with the latest AI and ML technologies.
- Building data pipelines to ingest data for Data Science projects.
- Data cleaning and data imputation of unclean data.
- Performing a thorough exploratory data analysis and presenting results to relevant stakeholders for insight generation.
- Feature engineering relevant to the purpose of the Data Science problem.
- Create and evaluate data models using statistical, algorithmic, data mining, deep learning, visualization, and data matching techniques for data discovery and intelligent automation.
- Present and summarize modeling results and recommendations to business users and stakeholders in an understandable and relevant way, verbally and visually.
- Document and publish analyses, instructions, and code so others can replicate and learn from previous work.
