Data Scientist

About the job

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

Requirements

• Python
• Machine Learning
• Data Visualization
• Statistical Analysis

Qualifications

• PhD
• Masters in data science / statistics / computational sciences / informatics

Preferred Technologies

• Python
• Machine Learning
• Data Visualization
• Statistical Analysis