Research Scientist

StrategicActively 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 ProjectsOperational 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 QualificationPhD 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.ExperienceExperience 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 applicationsWell 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 practicesAbility 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