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 6.700 employees of 40 different nationalities, 14 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 860.5 billion yen in revenues (approx. 6 billion euro), over 28,000 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
The role requires solid and proven experience in advanced data analysis (Data Analytics), with the primary objective of translating insights into business strategies and optimizing product performance. The ideal candidate must therefore understand the functional aspects connected to the company's core business, ensuring full alignment with R&D objectives.
Your Role and Impact
* Conduct advanced data analysis, data mining, and Knowledge Discovery in Data (KDD) to support R&D decision-making.
* Develop analytical platforms, libraries, and plugins for monitoring machine and sensor data and calculating KPIs.
* Design, develop, and implement AI/ML models, Proof-of-Concepts (PoCs), and prototypes.
* Lead business requirement definition and technical documentation for digital and AI solutions.
* Oversee testing, integration, and deployment of AI models into business applications and processes.
* Manage projects and collaborate with internal teams, IT suppliers, and external technology partners.
* Evaluate AI technology providers to ensure alignment with strategic and operational standards.
Your Eligibility
* Degree in Mechanical Engineering, Computer Science, Data Science, or a related field.
* Minimum 3 years of experience as a Data Scientist, Data Engineer, or similar role.
* Experience working with industrial or sensor-based data.
* Ability to independently manage projects end-to-end.
Essential Key Skills and Competencies
* Programming: Python (mandatory); Java, C, C#, or MATLAB.
* ML Analytics Libraries: Scikit-learn, TensorFlow, PyTorch.
* Data Tools: Pandas, NumPy, SciPy, Matplotlib, Seaborn, Plotly Dash.
* Databases: SQL Server, SQLite, InfluxDB, MongoDB.
* Web Applications: FastAPI, Flask.
* AI Development & Implementation: Skilled in defining business requirements, creating technical documentation, developing PoCs/prototypes, and integrating AI/ML models into business applications and processes.
* AI Specialized Areas: Experienced in NLP (NLTK), Computer Vision & Image Processing (OpenCV, PIL), and web scraping (Requests, BeautifulSoup).
* Strong analytical, communication, 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 and supply chain experts, hands-on experience in supply chain analytics and multinational operations, and opportunities to learn advanced analytics tools 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 organisation'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 [tws.-].
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.