Data Scientist Process Analytics Group Job in Tridiagonal Solutions

Reports To :Practice Head

Tridiagonal SolutionsPvt. Ltd. ()is one of the premium consultantsproviding innovative process engineering and technologically advanced solutions to fortune 100 companiesglobally.
What we do: We leverage advanced Modeling & analytics, workflow automation, and data science techniques to provide solutions to the process industry verticals like food, pharma, Chemicals, and Oil & Gas.
We are one of the thought leaders in our space due to unique/niche expertise we possess and collaborate with process excellence teams of world s largest corporate houses in the US and Europe such as P&G, Unilever, Pfizer, J&J, Mondelez, Chevron, Shell, Adidas, etc.).

About an Opportunity: For our Data Science and Analytics Practice, we are looking for young and dynamic chemical engineers with good data-driven Modeling and Analytics background.
As an application engineer, you will get an opportunity to work on Tridiagonal s state-of-the-art data analytics solutions based on latest ML/AI techniques for global customers.

Purpose: Our Process Data Analytics team work on data strategy, data aggregation / cleansing, advanced performance modelling using ML/AI framework and statistical methods (Python, R, Matlab). The role demands consulting approach to work with customers and help them with training, Proof of Concept (POC) and troubleshooting with analytics platform.

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),
• 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

Values

• Customer focus
• Results and Accountability
• Innovation
• Transparency and Integrity
• Inclusiveness
• Sense of urgency
• Collaboration and Teamwork
• Teamwork

Education Background :
Bachelors / Master s degree in Computer Science / Chemical Engg. with a minimum of 7+ years of relevant work experience

Location : Pune, India

Remuneration:

• Compensation as per industry standards.
• Benefits would be detailed in the final offer.