Research Scientist

Strategic - Actively support the philosophy, values and key strategic initiatives of organization and the department. - Efficient contribution to the overall success of RDIT by driving innovation and team performance according to objectives and targets. - Innovate solutions using Artificial Intelligence and machine learning. - Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. - Fulfilling requirements as set by Group Leader and Team Leader, e. g. within specific Research Projects Operational - Execute and manage advanced analytics and data science projects, focusing on data visualization and machine learning model development and deployment. - Implement and manage ETL processes to ensure efficient extraction, transformation, and loading of data from various sources, such as internal databases and third party platforms. - Ensure data quality and accuracy in all analytical processes. - Use programming and scripting skills to automate the process, and enhance the effectiveness and productivity. Eg. R, Perl, Bash, Python, JAVA, mySQL - Use statistical techniques and machine learning models to analyze large datasets with software such as Python (scikit-learn, TensorFlow) and R. - Create and maintain Power BI dashboards to visualize data and communicate findings to stakeholders. - Set up and maintain CI/CD pipelines for data science projects. - Work closely with cross-functional teams to understand and address business requirements. - Communicate complex technical concepts to non-technical stakeholders. - Develop and implement algorithms for predictive modelling of agrochemical based active ingredients. - Participate in the assessment and introduction of new data technology supporting digitalization and automation efforts for application to a broader practice within the organization. - Carry out advanced statistical analysis in combination with machine learning and artificial intelligence and build group capability. - Updating self with respect to new tools for digitization and data analytics using the online and print literature, attending national and international conferences. Educational Qualification - PhD or Masters in data science / statistics / computational sciences / informatics or related discipline from a reputed University / Institute from India or overseas with excellent academic credentials - Should have an experience in creating interactive dashboard/data app, AI/ML model building, cloud platforms, big data analytics platform. - High quality research publications and/or patents appreciated. Experience - Experience of > 3 years from relavent industries and/or high-ranking academic institutes in handling scientific data in order to support, improve and direct design in the area of drug discovery, exploration and optimization in life sciences. - Must be able to communicate with key stakeholders on a high level of understanding of contents. - Experience in predictive modelling, statistics, machine learning to collect, explore and extract insight from structured and unstructured data. - Proficiency in Power BI and creating interactive dashboards. - Proficiency in scripting and programming languages like R, Perl, Bash, Python, JAVA, mySQL to build efficient AI/ML applications - Well versed with working on Cloud (AWS), HPC servers on LINUX/UNIX environemnt. - Experience with big data technologies e.g., Hadoop, Spark. - Experience with CI/CD tools and practices - Ability to communicate technical results to non-statisticians. - Experience in agro-chemical space would be an additional advantage. Interested candidates are requested to share their resumes directly on shubhi.chandnani@piind.com