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Sr Advanced Chemical Engr

Sr Advanced Chemical Engr

ConfidentialGurgaon / Gurugram
30+ days ago
Job description

Key Responsibilities :

Operational Monitoring and Improvement :

  • 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.

Analytics and Reporting :

  • 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.
  • Solution Development & Continuous Improvement :

  • 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.
  • Cross-Functional Collaboration :

  • 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.
  • Global Support & Communication :

  • 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.
  • Qualifications : Must Have :

  • 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.
  • Nice to Have :

  • 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.
  • Skills Required

    Data Analytics, Problem-solving

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