Monitor UOP technologies and identify areas for improvement and optimization, ensuring that assets receive the appropriate focus for enhancement.
Review operations with customers and assist in defining and quantifying customer benefits, ensuring customer satisfaction and value from Honeywell's solutions.
Troubleshoot issues and provide readily available technical solutions to customers, using data insights and proactive technical support.
Conduct initial triage of technical issues, escalating them as needed to the technical support (TS) team.
Use data mining techniques to handle unstructured data, identifying hidden patterns and relationships to derive technical insights.

Perform descriptive and inferential statistics on large datasets, summarizing trends and findings to inform decision-making.
Apply predictive analytics and create models based on historical data to forecast future trends, improve solutions, and prevent future issues.
Communicate insights from trends and diagnostic investigations to proactively resolve and prevent recurring problems.
Work with the team to innovate new big data monitoring tools that utilize AI and machine learning to create advanced, exception-based analytics and dashboards for the GSC's efficient operation.

Ensure upkeep of all solutions by troubleshooting PM/PTA/PRA/POA/Benchmarking/Future Solutions to ensure consistent availability and high operational uptime.
Develop and optimize data pipelines that support product, system, and solution development.
Drive the creation of innovative solutions for next-generation operational dashboards, with a strong focus on sustainability, efficiency, and scalability.

Work with internal teams, including operations leaders, data scientists, and technical experts, to drive the success of Honeywell's 24/7 operations.
Collaborate with external customers to ensure alignment with business objectives and key results for the GSCCC.
Ensure the delivery of high-quality service, focusing on SMART data results while also identifying alternative solutions to overcome challenges with unstructured data.

Ability to work in 24/7 shifts, providing continuous support and being flexible to come in for shift replacements on short notice.
Support global customers, with potential internal/external travel (up to 10%) to troubleshoot issues and optimize solutions.
Strong communication skills, both verbal and written, are essential for presenting technical solutions to customers, conveying data-driven insights, and engaging with stakeholders.

Bachelor's degree in Data Science, Computer Science, Engineering, or a related field.
Strong analytical skills with the ability to interpret data, identify patterns, and make actionable recommendations.
4+ years of experience in data analytics, machine learning, AI-based solutions, or a similar technical role.
Proficiency in data analytics tools and platforms such as Python, R, SQL, and data science frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Ability to handle and manipulate unstructured data and perform complex data mining tasks.
Experience with big data platforms (e.g., Spark, Hadoop, Databricks) and working with large datasets.
Problem-solving and troubleshooting skills, with the ability to define issues with limited information and generate solutions promptly.
Experience working in a 24/7 operational environment, with a customer-focused approach to delivering timely support.

Knowledge of UOP technologies and the ability to monitor and enhance operational processes.
Familiarity with cloud computing platforms (e.g., Azure, AWS) and tools such as Informatica and NiFi for data flow automation.
Experience with advanced analytics tools like ProSight for data visualization and technical insights.
Familiarity with industrial automation, IoT, and refining/petrochemical sectors.
Strong understanding of Data Science Open Source tools and technologies.

Sr Advanced Chemical Engr