Sr Data Scientist

Interested candidates, kindly mail to enpcareers.hr@ril.com Main Purpose: To design, implement, and deploy data science solutions in a production environment, focusing on advanced analytics, machine learning, and deep learning techniques. The role requires a proactive approach to research and development in areas such as computer vision, time-series anomaly detection, and process optimization, ensuring high-impact delivery in a fast-paced, agile work environment. Job Accountabilities: - Lead the design and implementation of data science solutions in a production environment. - Drive research and development of solutions in computer vision, time-series anomaly detection, and process optimization. - Collaborate with cross-functional teams to develop and implement data science solutions. - Manage multiple projects independently in a fast-paced environment. - Conduct in-depth analysis to identify emerging trends and patterns, solving complex business problems. - Deploy machine learning models and data pipelines, ensuring scalability of solutions. - Perform exploratory data analysis and create interactive visualizations to support business decision-making. - Present research and analysis results to both technical and non-technical stakeholders. - Publish research findings in top-tier conferences and journals. - Collaborate with data scientists, engineers, and process owners to ensure quality and timely delivery of projects. - Stay up-to-date with the latest advancements in data science methodologies and tools. Skills Required: - Strong background in advanced analytics, machine learning, and deep learning techniques. - Ability to lead the design and implementation of data science solutions. - Proficiency in deploying machine learning models and data pipelines. - Expertise in conducting exploratory data analysis and creating interactive visualizations. - Excellent communication skills for presenting research and analysis results. - Ability to manage multiple projects independently in a fast-paced environment. - Strong collaboration skills with cross-functional teams. - Commitment to staying updated with the latest advancements in data science. Experience Required: - 5-8 years of expertise in developing and deploying data-intensive solutions. - Proven track record of delivering high-impact data science solutions in a fast-paced, agile work environment. Preferred Educational Qualification: - Master’s or PhD in Engineering, Computational Sciences, or related quantitative disciplines. Interested candidates, kindly mail to enpcareers.hr@ril.com