Our client, a prestigious MNC is seeking a Data Scientist to take on a key role in leveraging advanced analytics and machine learning to drive growth, optimize customer experience and enhance operational excellence.
Key Responsibilities:
- Utilize cutting-edge data science methodologies to develop forecasting and propensity models for predicting customer behavior.
- Create predictive models to support business decision-making processes, forecasting, and recommendations.
- Data mining of customer database to identify business opportunities for customer acquisition and retention, sales performance optimization as well as customer experience/engagement enhancement.
- Apply modern machine learning algorithms to analyze extensive datasets encompassing customer interactions with product and platform attributes.
- Provide actionable insights to aid in comprehending market dynamics, user behaviors, and long-term trends.
- Enhance their understanding of customer bases by ensuring a comprehensive view of customer demographics and behaviors.
Job Requirements:
- Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related discipline
- Proficiency in data models, data mining, and segmentation techniques.
- Strong proficiency in Python and its libraries.
- Experience in utilizing SQL and other languages to extract data from diverse sources.
- Familiarity with cloud platforms and associated services such as AWS, Microsoft Azure, and Google Cloud.
- Ability to apply linear and non-linear regression, logistic regression, classification techniques, clustering, dimensionality reduction, k-NN, and pipeline for data analysis
- Good communication skills and the ability to collaborate closely with both business and technology teams
- Problem-solving mindset and the ability to think critically
