Data Scientist数据工程师(谷物事业部)

Location: 

Wuxi, JS, CN, 214142

Work Site:  Onsite
Duration:  Permanent / Unlimited
Date:  Apr 20, 2026

Two billion people eat food every day that was produced with Bühler equipment. One billion people drive vehicles whose parts were manufactured with our machines.​ Bühler aims to balance humanity, nature, and the economy in every decision as it develops solutions that unlock sustainable business opportunities in the global food, feed, and mobility industries. We strive to create innovations for a better world, with a special focus on healthy, safe, and sustainable solutions. Therefore, we team up with customers, start-ups, multinationals, and academia to accelerate impact together.

Summary

In 2007, Bühler (Wuxi) Commercial Co., Ltd. was established in Wuxi, Jiangsu Province. We lead the market in grain handling and processing, consumer food manufacturing, and grinding and dispersion with our advanced technology advantages. We have several independent application centers and customer service centers for milling, pasta, color sorting, consumer food, grinding and dispersion, providing integrated solutions for multiple industry chains. 
With our vision of “Innovations for a better world”, we are committed to developing more innovative solutions by leveraging the global resources of the Bühler Group and taking advantage of localization.

Job Responsibilities

•    Design, develop, and maintain Python applications for IoT and Cloud projects. al teams to define, design, and ship new features.
•    Identify and correct bottlenecks and fix bugs.
•    Data mining use state of the art methods.
•    Enhancing data collection procedures to include relevant information
•    Processing, cleansing, and verifying the integrity of data used for analysis.
•    Assess the effectiveness and accuracy of new data sources and data gathering techniques.
•    Doing adhoc analysis and presenting results in a clear manner

Qualifications

•    Bachelor's degree in Statistics, Computer Science, Software engineering or related fields with 5 years’ experience or master with 3 years’ experience.
•    Experience using statistical computer languages (Python, MATLAB, Git, Latex.)
•    Proven experience with Python development.
•    Experience working with and creating data architectures.
•    Previous work experience in automation, digital product is preferred.
•    Strong problem-solving skills with an emphasis on mill, feed or relevant industry 
•    Strong knowledge of advanced statistical techniques and concepts, and experience with applications.
•    Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) is considered as a priority.
•    Excellent written and verbal communication skills for coordinating across teams.
•    Must understand the validation requirements for software tools
•    Excellent English skills in speaking, reading and writing
•    Must be organized to effectively manage multiple projects and shifting priorities.
•    Maintain confidentiality as required and appropriate.

At Bühler we are not only offering working opportunities and international exchange of like-minded professionals. We are more than just a global company. Our value proposition to transform the way companies feed and move the world, is driving positive change in the industries in which we operate globally. Become a part of a dynamic environment that combines your drive for innovation with a world ​of possibilities.​ Joining us means embracing a shared purpose of creating innovations for a better world while becoming part of a company that is dedicated to your success.

As a global organization, we embrace the diversity of our global workforce. At Bühler, you will collaborate with professionals from around the world, each bringing in a unique perspective to the table. It is a business priority for us to harness the diversity of our global workforce and include them in their uniqueness to create a culture of belonging guided by our TOP values – Trust, Ownership and Passion. Embark on a journey that combines the excitement of global collaboration with the reassurance of a welcoming workplace.

Let’s create impact together!