• Primary Skills: Python with OOP concepts, statistical techniques and machine learning algorithms
• Secondary Skills: V Good knowledge and work experience in Unix commands, Shell scripts etc., Writing python testcases with unittest, pytest libraries

Requisite Industry certification needed for this Position:-

• Candidate should have a valid relevant External Certification
• Our client requires all the employees working on this engagement to be COVID-19 vaccinated.

JD for Data Science Developer:-

• Must have knowledge of statistical techniques and machine learning algorithms.
• Develop and deploy scalable tools and services to handle machine learning training and inference.
• Maintain the infrastructure and tools that allow us to deploy and monitor our ML algorithms in production.
• Apply software engineering rigor and best practices to machine learning, including CI/CD and automation etc..
• Translate business issues into specific requirements to develop analytic solutions and identify appropriate data to support the solution deliver large-scale programs that integrate processes with technology to help clients achieve high performance.

Key skills

• 5+ years of extensive work experience and deep knowledge with hands on experience on Python with OOP concepts to create highly secure and quality productionable code.
• V Good knowledge and work experience in Unix commands, Shell scripts etc.
• Expertise in software engineering principles such as design patterns, code design, testing and documentation
• Writing effective and scalable codes, implementing robust, and maintainable Python applications
• Understanding and hands on exposure predictive analytics , Text Analysis-Natural Language process (NLP) techniques, Machine learning and deep learning experience
• Strong analytical and problem-solving skills
• Writing python testcases with unittest, pytest libraries
• Fluent in structured and unstructured data, its management, balancing of data using statistical techniques and modern data transformation methodologies.
• Experience in a fast-paced, agile environments managing uncertainty and ambiguity.
• Comfortable operating in a Linux environment
• Experience working in an AGILE development team.
• Experience building model training pipelines in the cloud.
• Experience orchestrating the deployment and management of predictive models in a cloud environment.
• Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders.
• Provide expert thought leadership in the area of business analytics and work with limited direction.
• Prior experience of working with data visualization tools such as PowerBI, Tableau or QlikView is preferred.
• Excellent written and Verbal communication, business analysis, data visualization, and data storytelling skills