Data scientist

As a data scientist, you will analyze complex datasets and build models and products (including forecasting, pattern identification, and trend analysis) using statistical and machine learning techniques to uncover deeper insights that drive business improvements across products, services, processes, and strategic initiatives. This role involves studying various data sources, taking responsibility for analytical tasks within projects, contributing to the development of ML solutions, and serving as a technical reference and mentor to other data scientists while continuously expanding your expertise for greater impact.

• Independently perform advanced analytics, including model assessment and improvement.

• Clearly and compellingly communicate the methodology, assumptions, results, and limitations of complex models and analyses to non-technical audiences, ensuring business users understand the insights and can act upon the recommendations.

• Recommend improvements to data systems based on experience.

• Continuously optimize and maintain model performance (accuracy, reliability, scalability).

• Test and implement new analytical techniques with growing independence.

• Mentor other data scientists and serve as a technical point of contact.

• Collect and clearly document business requirements for assigned tasks.

• Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, Economics) with a focus on data science or a related area.

• Solid experience (typically 2-4 years) as a Data Scientist, with a proven track record of applying data science techniques to solve business problems.

• Strong proficiency in a wider range of data science tools (e.g., Python).

• Good understanding and practical application of advanced statistical techniques and various machine learning algorithms.

• Experience with data visualization tools and techniques.

• Familiarity with cloud computing platforms (e.g., GCP) is a plus.

• Understanding of data modeling and data warehousing concepts.

• Strong analytical and problem-solving skills.

• Good communication and presentation skills. 

• Knowledge of Tableau is a plus. 

• Ability to work independently and collaboratively within a team.

You will become part of a people-oriented company where your well-being really matters. Flexible working hours, work from home possibilities, 20 days holiday and 12 WTR days within a 40-hour week. At our headquarters you will also discover our TVH Park, a green area where you can move around and have the possibility to relax, meet or have lunch. Furthermore, we also offer: 

• An attractive salary package with extra-legal benefits such as company car, group and hospitalization insurance, luncheon vouchers, corporate restaurant, ... 

• An exciting position in an international company with a family atmosphere where people are at the center. 

• You are part of a dynamic entrepreneurial team that is fast-growing and at the center of the transformation.  

• You arrive in an innovative, progressive and technological environment. 

• Numerous opportunities for personal development, among other things through permanent guidance and professional (internal/external) training courses. 

• Fun afterworks and other optional events (e.g. TVH Kaffee). 

TVH is a global business with a family atmosphere, where people are at the center. We value clarity, mutual respect, kindness and open communication. Our people are down-to-earth, easy to work and engage with. We welcome differences and celebrate new ideas. 

TVH is a parts specialist for quality parts and accessories for material handling, industrial vehicles, and construction and agricultural equipment. Working at TVH is opting for a company that excels as an international market leader and is well-known for its unstoppable craving for innovation. 

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