Pfizer Sr Scientist Vacancy – Chemical Engineering Job – Apply Online
Pfizer announces job opening for chemical engineering candidates. Chemical engineering scientist job opening 2022. Chemical engineering vacancy. Candidates with graduate and postgraduate degree in chemical engineering may apply for the job vacancy at Pfizer for the post of senior scientist and sr associate. Check out all the details on the same below:
Job Title: Sr. Scientist / Sr. Associate – Data Visualization, Manufacturing Intelligence
Location: Sholinganallur
Id: 4841879
Eligbility Criteria:
Graduate / Post-Graduate degree in Chemical Engineering or related technical field.
Minimum 3 years’ Data analytics, data engineering, and visualization development experience.
Attributes:
- Ability to collaborate effectively internally and with cross-functional teams and key stakeholders.
- High level of innovative ability, agility with high energy for continuous learning.
- Highly self-motivated and results-focused, with a track record of value delivery through technical innovation
- Ability to communicate effectively at multiple levels covering project technical details or progress and impact updates to key stakeholders
- Manage multiple projects and priorities efficiently
Experience:
- Applicants with hands-on experience in the following areas will be of interest:
- Development & deployment of interactive visualizations using Tibco Spotfire, ability to integrate non-native visualizations using JavaScript. – Must have
- Expertise in writing complex codes using IronPython for developing custom visualization functionalities – Must have
- Experience of engineering the data in an appropriate structure for developing visualization. – Must have
- Experience in handling time-series data from sensors and real-time streaming data for data visualization – Good to have
- Configuration of filesystems, data warehouses, cloud solutions including experience of snowflake, SQL, AWS S3 bucket, Hadoop, Spark – Good to have
- Development of connectivity interfaces with data sources and historians including OSI PI, SQL, Informa, MQTT, OPC – Good to have
- Deployment of Python codes for real-time execution including experience of Tibco Streambase, Tibco Data Science, Kafka, Docker container – Good to have
- Ability to understand model development using Scikit-Learn, TensorFlow, and PyTorch libraries and integrate with visualization platform – Good to have
- Data analytics/modeling experience with pharmaceuticals, Chemical domain expertise, and industrial exposure – Good to have
Responsibilities
- Provide expert data analytics and Visualization development support to all teams in the Manufacturing Intelligence organization and in support of project execution at manufacturing sites.
- Translate business requirements into tangible solution specifications and high-quality, on-time deliverables
- Develop, test, and deploy intuitive, interactive dashboards for multiple analytics solutions
- Perform data engineering and data warehousing operations to create a data pipeline for analytics solution development.
- Support development and maintenance of machine learning models and integrate them in dashboards for real-time predictive analytics solutions
- Provide analytics insights to customers, advocate analytics solutions and enable actions for value creation.
- Engage with manufacturing site SMEs and other end-users and support enhancement of existing solutions
- Stay abreast of industry 4.0 trends and developments in AI/ML and work with other MI teams to pilot new advances to drive value for PGS.
Apply Online
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