Mid-Level
? Location: Amata City, Rayong
The Bosch Group is a global leader in technology and services, achieving annual sales of approximately 90 billion euros and employing over 400,000 associates worldwide. With operations in around 60 countries through 470 subsidiaries and regional companies, Bosch is a major player across four key business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. Driven by a commitment to connected living, Bosch develops innovative solutions that improve quality of life globally.
Bosch Automotive Thailand is a key player in the automotive sector, offering a wide range of products and services, including advanced braking systems, vehicle motion components, powertrain solutions, and technologies for electric and hybrid vehicles. With a focus on sustainability and innovation, Bosch Thailand supports the transition to electric mobility and the development of connected, automated, and personalized automotive technologies. The company has achieved significant growth, with a strong commitment to quality, safety, and environmental responsibility. Bosch continues to play a crucial role in Thailand’s automotive industry and its efforts toward decarbonization and sustainable mobility.
We are a dynamic and rapidly growing company committed to innovation and excellence in our industry. Our team is passionate, forward-thinking, and dedicated to achieving our mission. As we continue to expand, we are seeking a vibrant and proactive talent to join our leadership team.
We are looking for an IT Project Management & Data Scientist to manage Manufacturing and non-Manufacturing IT projects, perform advanced data analysis, and support digital transformation initiatives. This role will coordinate with IT service teams, SAP teams, external suppliers, end users, and the Bosch data scientist community to implement data-driven solutions and support i4.0 plant targets.
Key Responsibilities
Manage IT projects related to Manufacturing and non-Manufacturing areas.
Create project implementation plans and follow up with related departments.
Perform data analysis using statistical tools, scientific methods, and machine learning.
Develop data applications and ensure validation, testing, monitoring, and documentation.
Coordinate with internal and external stakeholders to support digital transformation projects.
Degree in Computer Science, Data Science, or related fields.
Knowledge of Manufacturing processes is preferred.
Experience in Data Science or data analytics.
Skills in Python, SQL, Git, advanced statistics, data transformation, and Power BI.
Good English communication skills.
Required Skills
Python
SQL
Git
Advanced statistics
Data access and data transformation
Power BI
Machine learning and data analytics knowledge
Competencies
Strong result orientation and future-oriented mindset
Good cooperation and communication skills
Ability to coordinate with cross-functional teams and external partners
Strong depth of technical and methodological knowledge
Interest in digital transformation and i4.0 initiatives
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