Lead Data Scientist
- Ability to lead a team of 5-6 members.
- Ability to work with large data sets and present conclusions to key stakeholders.
- Develop a clear understanding of client's business issue to inform the best approach to the problem.
- Root-cause analysis
- Define data requirements for creating a model and understand the business problem
- Clean, aggregate, analyze, interpret data and carry out quality analysis of it
- Set up data for predictive/prescriptive analysis
- Development of AI/ML models or statistical/econometric models.
- Working along with the team members
- Looking for insight and creating a presentation to demonstrate these insights
- Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects
- Hands on experience in Analytics Tools ; R, Python, SQL, Power BI, MS Excel.
- Predictive Analytics ; Machine Learning Algorithms, Logistics & Linear Regression, Decision Tree, Clustering.
- Exploratory Data Analysis ; Data Preparation, Data Exploration, and Data Visualization.
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