Computer Vision Data Specialist

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Date: Sep 11, 2024

Location: Pudong New District, SH, CN, 201204

Company: Lubrizol Corporation

About Lubrizol  
The Lubrizol Corporation, a Berkshire Hathaway company, is a specialty chemical company whose science delivers sustainable solutions to advance mobility, improve wellbeing and enhance modern life. Founded in 1928, Lubrizol owns and operates more than 100 manufacturing facilities, sales, and technical offices around the world and has about 8,000 employees. For more information, visit www.Lubrizol.com.

We value diversity in professional backgrounds and life experiences. By enabling a consistent, unbiased, and transparent recruitment process, Lubrizol seeks to create a positive experience for candidates so we can get to know them at their best. We recognize unique work and life situations and offer flexibility, ensuring our employees feel engaged and fulfilled in every aspect of life.   

Summary of Responsibilities

The core responsibility of this function is delivering Machine Learning  (ML) /Artificial Intelligence (AI) solutions to enable product development and deployment by providing computer vision, image processing, and data science support to the Lubrizol technical community. This team (and this role) is instrumental in enabling data driven decision making across the enterprise with the use of the right data, tools, and processes. Data science support greatly benefits efficiency and decision making in prioritization and complexity reduction. Computer vision and image analysis needs continue to increase as we aim to gain insights from our data.

 

Essential Job Functions  

  • Develop solutions for image analysis using neural networks and automatic image processing
  • Deploy algorithms and create predictive models by mining complex visual data
  • Collaborate with business and technical teams on problem solving using data science and deep learning
  • Collaborate and consult with data scientists and subject-area experts on machine learning, visualization, algorithms, etc., along with system design and implementation
  • Support data analytics systems, including day-to-day operations and troubleshooting
  • Conduct training on data analysis methodology and data analysis tools and applications

 

Skills, Qualifications, Experience, Special Requirements:

  • Degree in computer vision, data science, statistics, data analytics, computer science, or closely related field
  • Basic understanding of machine learning methods
  • Ability to efficiently process and analyze large complex data
  • Experience writing complex code in Python; knowledge of JavaScript, relational databases and SQL are added pluses
  • Strong deductive reasoning skills
  • Creativity and curiosity with the ability to learn and apply new concepts quickly
  • Ability to interact effectively with a variety of scientists and individuals, including English language skills; Spanish skills a plus

 

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Ready for your next career step? Apply today and let's shape the future together! 

It’s an exciting time to be part of Lubrizol. Lubrizol is not staying put. We are continually learning and evolving. Our passion delivers our success — not only for Lubrizol but for those who count on us every day: our employees, customers and communities. 

We work with a relentless commitment to operate safely and responsibly, keeping safety, sustainability, ethics, and compliance at the forefront of everything we do. The well-being of our employees, customers and communities is paramount to our culture and in the way we approach our work.

As a diverse, global team, we work together to solve some of the world’s most pressing challenges. We impact everyday lives through science only Lubrizol can deliver, and we never stop pushing to do it better.

One of the founding principles of The Lubrizol Corporation more than 90 years ago was treating every employee with dignity and respect. That same commitment is only stronger today. 

More than that, we are committed to providing an environment where every employee can be the best they can be, no matter their race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic. 


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