About Us: We are Yokohama TWS, a leading global supplier of tires and complete wheels for the agricultural, material handling, construction, motorcycles segments. We design and manufacture tire and wheel solutions made for the future. With a combination of value, safety and ease, our solutions provide a more productive and sustainable performance our customers demand. We pair the expertise and power of our global reach with the care and knowledge of local proximity. This brings innovation, technology and sustainability together to answer the specific needs of our customers. All while continuing to reduce our and their impact on the planet. Our people take ownership to deliver on this promise every day. We are a global Company with a local reach, operating in more than 50 Countries worldwide with 5.300 employees of 40 different nationalities, 12 state-of-the-art plants and 4 innovation centers. We are part of Yokohama Rubber Co., Ltd., a global leader in the tire industry with 1094 billion yen in revenues (approx. 6.7 billion euro), approximately 34,000 people around the globe and with operations in more than 120 countries. If you have an entrepreneurial mindset, enjoy taking responsibilities and getting things done in the right way, join us! We are plenty of opportunities to grow and develop in a truly dynamic and easy-going environment.
ABOUT THE OPPORTUNITY
This role offers an exciting opportunity for an experienced Data Scientist to support research and development initiatives through advanced data analytics, artificial intelligence, and machine learning. The Advanced Engineer- Data Scientist will analyze complex industrial and sensor-based data, develop analytical platforms and AI-driven solutions, and translate data insights into practical business strategies that improve product performance and operational decision-making. The ideal candidate should possess strong technical expertise, commercial understanding, and the ability to independently manage digital and AI projects from concept through to implementation.
YOUR ROLE AND IMPACT
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Conduct advanced data analysis, data mining, and Knowledge Discovery in Data (KDD) to support R&D decision-making.
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Develop analytical platforms, libraries, and plugins for monitoring machine and sensor data and calculating KPIs.
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Design, develop, and implement AI/ML models, Proof-of-Concepts (PoCs), and prototypes.
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Lead business requirement definition and technical documentation for digital and AI solutions.
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Oversee testing, integration, and deployment of AI models into business applications and processes.
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Manage projects and collaborate with internal teams, IT suppliers, and external technology partners.
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Evaluate AI technology providers to ensure alignment with strategic and operational standards.
YOUR ELIGIBILITY
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Bachelor’s Degree in Mechanical Engineering, Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related discipline.
- Minimum 3 years of professional experience as a Data Scientist, Data Engineer, Machine Learning Engineer, or in a similar data-focused role.
- Proven experience in advanced data analysis, data mining, machine learning, and AI-driven solution development.
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Practical exposure to industrial, manufacturing, machine-generated, IoT, or sensor-based data.
- Experience in developing Proofs of Concept, prototypes, analytical platforms, or production-ready data solutions.
- Ability to translate business and R&D requirements into practical technical solutions and actionable insights.
- Demonstrated ability to independently manage data and AI projects from requirement gathering through testing, deployment, and completion.
- Experience within a multinational, manufacturing, engineering, or R&D environment will be an added advantage.
ESSENTIAL KEY SKILLS AND COMPETENCIES
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Programming Languages: Advanced proficiency in Python is mandatory; knowledge of Java, C, C#, or MATLAB will be an advantage.
- Machine Learning Frameworks: Practical experience with Scikit-learn, TensorFlow, and PyTorch for developing and deploying AI and machine-learning models.
- Data Analytics Tools: Strong expertise in Pandas, NumPy, SciPy, Matplotlib, Seaborn, and Plotly Dash for data processing, analysis, and visualization.
- Databases and Web Applications: Experience with SQL Server, SQLite, InfluxDB, MongoDB, FastAPI, and Flask.
- Professional Competencies: Strong analytical thinking, problem-solving, communication, project coordination, and stakeholder-management skills.
WHAT WE OFFER
A competitive remuneration in line with industry standards, coupled with comprehensive personal and family health insurance. Our commitment extends beyond compensation, as we provide clear learning and development pathways to support your personal and career growth, including training and mentorship from senior data, engineering, and R&D experts, hands-on experience in industrial analytics, sensor-based data, and multinational operations, and opportunities to learn advanced AI, machine learning, data-visualisation, and automation techniques. Moreover, we foster a healthy working environment, ensuring a perfect balance between work and life.
HOW TO APPLY
If you are a dynamic and proactive professional looking to contribute to our organization’s success, we’d love to hear from you. Send in your resume along with a cover letter detailing how you can contribute to our team’s success to [[email protected]].
ABOUT THE APPLICATION PROCESS
Our application process takes pride in transparency and fairness. Besides remote and physical interviews, candidate selection is based on aptitude tests. Yokohama-TWS is an equal-opportunity employer. We rejoice in diversity and are committed to creating an inclusive environment for all employees.
