onsite
Data Scientist
Data Scientist
As a Data Scientist, you will collect, cleanse, and analyze data, applying statistical and machine learning techniques to develop and implement AI models. This role involves managing big data infrastructure, utilizing version control, and designing AI-driven products to meet business objectives.
About the role
About the Role
As a Data Scientist at BharatX, you will be instrumental in leveraging data to drive decision-making and innovation. You will be responsible for a wide range of activities from data collection and cleansing to developing and deploying advanced AI models.
Responsibilities
- Collecting and cleansing data from diverse sources for analysis, ensuring high-quality and relevant datasets for effective decision-making
- Exploring and visualising data to uncover insights and trends, using advanced tools and techniques for meaningful data interpretation
- Applying statistical and mathematical techniques to analyze data, providing robust analytical foundations for predictive modeling and inference
- Developing and implementing machine learning and deep learning models, including the adaptation of foundation models to address specific business challenges
- Managing big data infrastructure and carrying out data engineering tasks, ensuring efficient data storage, processing, and retrieval
- Utilising version control for maintaining codebase integrity and collaboration, fostering a collaborative and error-free development environment
- Designing, creating, and supporting AI-driven products, focusing on delivering scalable and impactful AI solutions that meet user needs and business objectives
Requirements
- Minimum 3+ years of experience in a data science role
- Proficiency in Python, R, SQL, and Scala and experience using AI Frameworks
- Knowledge of SQL and NoSQL database management
- Experience in developing and designing ETLs, Big data pipelines and corresponding infrastructure
- Strong background in data science, statistics, mathematics, and analytical techniques
- Expertise in machine learning and deep learning methodologies, including an understanding of foundation models
- Familiarity with big data technologies and data engineering practices