Data Scientist

As an experienced Data Scientist joining our analytics team in Bangalore, you will have a strong background in statistical analysis, machine learning, data visualization, and big data technologies. Your role will involve working closely with business stakeholders and engineering teams to design data-driven solutions that enhance decision-making and drive innovation. **Key Responsibilities:** - Collect, clean, and preprocess large datasets from multiple sources. - Build predictive and prescriptive machine learning models using statistical techniques. - Develop and deploy data models and automation pipelines in production environments. - Perform exploratory data analysis (EDA) to uncover insights and trends. - Communicate findings through dashboards, reports, and visualizations. - Collaborate with data engineers and business analysts to translate business problems into analytical models. - Evaluate model performance and fine-tune parameters for optimal results. - Stay updated on emerging technologies, AI frameworks, and data science best practices. **Qualifications Required:** - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field. - Minimum 8 years of experience in data science, analytics, or AI development. - Strong understanding of machine learning algorithms, data pipelines, and MLOps. - Excellent communication and storytelling abilities to present insights effectively. If you have experience with NLP, Computer Vision, or Generative AI projects, familiarity with AutoML tools and advanced statistical modeling, and knowledge of DevOps and CI/CD practices for data pipelines, it would be a plus. As an experienced Data Scientist joining our analytics team in Bangalore, you will have a strong background in statistical analysis, machine learning, data visualization, and big data technologies. Your role will involve working closely with business stakeholders and engineering teams to design data-driven solutions that enhance decision-making and drive innovation. **Key Responsibilities:** - Collect, clean, and preprocess large datasets from multiple sources. - Build predictive and prescriptive machine learning models using statistical techniques. - Develop and deploy data models and automation pipelines in production environments. - Perform exploratory data analysis (EDA) to uncover insights and trends. - Communicate findings through dashboards, reports, and visualizations. - Collaborate with data engineers and business analysts to translate business problems into analytical models. - Evaluate model performance and fine-tune parameters for optimal results. - Stay updated on emerging technologies, AI frameworks, and data science best practices. **Qualifications Required:** - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field. - Minimum 8 years of experience in data science, analytics, or AI development. - Strong understanding of machine learning algorithms, data pipelines, and MLOps. - Excellent communication and storytelling abilities to present insights effectively. If you have experience with NLP, Computer Vision, or Generative AI projects, familiarity with AutoML tools and advanced statistical modeling, and knowledge of DevOps and CI/CD practices for data pipelines, it would be a plus.