Senior Data Scientist- Process Analytics Group Job in Tridiagonal Solutions Pvt. Ltd.

Essential Duties and Key Competencies: A Chemical Engineer / analysts with comprehensive engineering, mathematical, statistical, and analytical skills Expertise in using ML/AI frameworks (Python, R, MATLAB, etc.) and statistical techniques to identify the correlations and trends in the data Effective mining of data and analysis of data to build performance model and decision support frameworks such as predictive analytics A strong background on chemical engineering fundamentals and first-principle Proficient with statistical (process) and time series data (DOE, manufacturing / Historian) Identify, define and execute projects for adapting latest technologies and tools like Data aggregation, Data cleaning, Data quality, Integration, Data Management, Data Analytics, Data Science, etc. Influence stakeholders from various disciplines and across different levels of seniority across the organization. Solution mindset, creative and good at relationship management Experienced in understanding problems, collecting data, establishing facts and drawing valid conclusions Provide expertise in deployment of high-end technological initiatives and digital solutions like historian, data analytics, BI, workflow automation tools, Data Analytics (using partner platforms), Experience in AWS, Azure machine learning services is preferred Strong understanding of database systems, querying the database, time series data is preferred Collaborate / work closely with Service Delivery Team & Marketing team Successful track record in leading and delivering projects, large programs, applications across companies and domains Strong domain knowledge of Pharma, Chemical, Oil & Gas, Utilities, etc. Results oriented leadership and management skills with strong communication, people management and problem-solving skills Self-starter, quick learner, experience in working in multi-cultural environment across different geographies Additional Skills (Optional) Certification in Azure, AWS or GCP machine learning platforms Understanding of cloud based ML/AI architecture and deployment strategies Understanding of MLOps and its best practices Experienced with mlflow, Jenkins and others Knowledge of SQL, No-SQL, time-series databases VALUES Customer focus Results and Accountability Innovation Transparency and Integrity Inclusiveness Sense of urgency Collaboration and Teamwork Teamwork