Job description

The Data Scientist is responsible for designing and developing Machine Learning (ML) and Deep Learning models across multiple domains to extract patterns and insights from large-scale and diverse datasets. The role involves analyzing raw data including data quality assessment, cleansing, preprocessing, and structuring for downstream processing, while conducting research and development activities in Data Science and Machine Learning practices. The position focuses on building scalable and accurate ML models for applications such as Recommendation Engines, Chatbots, Natural Language Processing (NLP), text mining, text-based feature selection and representation, optimization, predictive modeling, Image Processing, Speech Processing, Rule-Based Learning, and Knowledge Graphs. The role requires proficiency in Python and libraries such as Tensorflow, Keras, Pandas, and Sklearn, with additional exposure to programming languages including C++, .Net, Java, Matlab, and R. The Data Scientist collaborates with Data Engineers, Data Quality Assurance Officers, Business Analysts, and software developers to translate prototypes into full-scale data products, ensuring data integrity and alignment with business objectives. Responsibilities include leveraging Big Data frameworks such as Hadoop, Spark, ElasticSearch, and Cassandra, and working with database technologies and query languages for data design and implementation. The role contributes to designing new service offerings, particularly in E-Commerce and related fields, while staying updated with the latest trends and technologies in AI and ML. The position requires strong expertise in algorithms, object-oriented programming, predictive modeling, clustering, and classification techniques, supporting business decision-making through advanced analytics and scalable AI solutions.