Vacature: Logistic Specialist _ Data Scientist
Werkgever:Mercedes-Benz Customer Assistance Center Maastricht
Plaats:Maastricht
The organisation
We are the Mercedes-Benz Customer Assistance Center Maastricht. Years of experience and our strong focus on customer centricity have given us the expertise to steer and develop global Customer Contact Centers (CCC) worldwide. We belong to the Mercedes-Benz Global Customer Service & Parts division and collaborate closely with other departments and divisions to create the best customer journey.
With an international team of over 1000 colleagues, we work to create the ultimate customer experience not only for the drivers of our vehicles but also in support of the retail and logistics organizations.
WE CARE for customers, they are part of our DNA.
The function
We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning. You will be responsible for analyzing complex data sets, developing predictive models, and providing actionable insights to drive business decisions.
Key Responsibilities:
- Collect, process, and analyze large data sets from various sources.
- Develop and implement machine learning models and algorithms.
- Perform statistical analysis and interpret results to identify trends and patterns.
- Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
- Create data visualizations and dashboards to communicate findings to stakeholders.
- Continuously improve data collection and analysis processes.
- Stay up-to-date with the latest industry trends and technologies in data science.
Requirements
Qualifications:
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
- Proven experience as a Data Scientist or in a similar role.
- Strong programming skills in languages such as Python, R, or SQL.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn).
- Proficiency in data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills.
- Ability to work independently and as part of a team.
Preferred Qualifications:
- Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud).
- Familiarity with data warehousing
We offer
We offer you a job in a multicultural, dynamic and informal international working environment with interesting conditions, both primary and secondary:
- Hybrid work
- Holiday allowance: 8% of annual salary
- Competitive performance-based salary growth
- Company result-oriented bonuses
- Transportation plan
- Collective health insurance at discounted rates
- Non-contributory pension plan
- Lucrative relocation package, if applicable
The procedure
Please use the “apply” button to upload your CV, Letter of Motivation, and any other documentation that adds value to your application.
We can only accept applications via the mentioned application process for data privacy reasons.
