About us

Make a difference for customers and partners worldwide in an international, diverse environment. At the Mercedes-Benz Customer Assistance Center (CAC) in Maastricht, you play a key role in supporting customers and partners worldwide while representing one of the world’s most respected brands. Years of experience and our strong focus on customer centricity have given us the expertise to steer and develop global Customer Contact Centers (CCC) around the world.

We belong to the Mercedes-Benz Global Customer Service & Parts division and we work closely with other departments and divisions to deliver the best customer journey possible. With an international team of over 1,000 colleagues, our mission is to provide an exceptional experience for our customers, as well as supporting retail and logistics organizations.

About the team

Customer Care Performance (CCP) plays a vital role in ensuring the smooth operation and strategic development of our global Customer Contact Centers. The department brings together several core teams, each contributing to the customer experience in a distinct yet connected way. The Business Intelligence (BI) and Data Science (DS) team within CCP acts as the CAC’s central data and analytics engine. We provide end-to-end reporting, analytics, and AI-driven solutions that enable the global steering of the Customer Contact Centers, supporting entities, and the voice of the customer. We translate business needs into data solutions and understand the data needs of the organization. Through standardized BI and DS products, advanced data models, and strong data governance, we ensure transparency, operational excellence, and insight-driven decision-making across the entire customer care ecosystem.

This role requires a foundational mix of business understanding, analytical thinking, and basic technical skills. As a Consultant, you will support stakeholders across the organization by helping to clarify their needs, translate business questions into simple data requirements, and contribute to the development of meaningful data solutions. You will learn to apply design-thinking principles, build reports or prototypes, and collaborate with senior colleagues to turn data into actionable insights. The role focuses on growing your advisory capabilities and technical expertise while helping the organization make informed, data-driven decisions.

These will be your tasks and responsibilities:

Business Discovery & Strategy Alignment:

Support stakeholder discussions by helping identify core business questions and basic data needs.
Assist in documenting business requirements for BI and Data Science solutions that deliver clear, useful outcomes.
Provide input to prioritization by flagging relevant requests and issues to help maintain the roadmap.

Solution Design & Development:

Help apply user-focused design to create clear, intuitive solutions.
Support product quality by aligning BI/DS work with technical and strategic guidelines.
Build end-to-end BI solutions including data preparation, modelling, dashboards, and visualizations.
Develop and maintain data pipelines, reports, and models following best practices for accuracy, performance, and reusability.

Stakeholder Collaboration:

Collaborate with Product teams, Business Analysts, and other stakeholders to understand objectives, gather requirements, and support the delivery of integrated solutions.
Work closely with BI Developers, Data Scientists, DWH Engineers, and Architects by contributing to solution development, asking clarifying questions, and learning established best practices.
Support the promotion of a data-driven culture by preparing timely reports, models, dashboards, and insights that help demonstrate the value of existing data assets.
Assist in the development and testing of new system functionalities and reporting processes to ensure continuity and accurate output as solutions evolve.

Users Experience Enhancement:

Connect with end-users on dashboard usability, data interpretation needs, and overall analytical experience to improve overall user experience.
Evaluate end-to-end usage of solutions to identify friction points, optimize data discovery paths, and enhance user satisfaction, accessibility, and engagement with BI and AI-driven insights.

This is what we are looking for:

Education:

Master’s degree (MSc) in Engineering, Statistics & Mathematics, Data Science, Computer Science or a related field.

Experience:

Experience working collaboratively with cross-functional teams to deliver results.
6–8 years total experience in Data Science, Data Engineering, or Software Engineering
3+ years hands-on in AI / Data Science roles
Proven delivery of production-grade AI data products

Skills:

Business acumen & stakeholder understanding – Able to grasp business needs with guidance and translate them into basic analytical questions or solutions requirements.
Analytical & problem-solving skills – Capable of interpreting data, performing structured analysis, and contributing to meaningful insights with support from senior colleagues.
Technical foundations – Working knowledge of BI tools, data modeling concepts, analytics techniques, and Machine Learning with the ability to document requirements and build simple prototypes or dashboards.
Communication & storytelling – Communicates findings clearly and concisely, adapting explanations for non-technical audiences with coaching.
Collaboration & facilitation – Works effectively within cross-functional teams, contributing to workshops or solution discussions and learning how to facilitate small parts of the process.
Workload Management – Able to coordinate tasks with teammates, manage assigned work, and align on priorities with support when needed.

Technical knowledge:

Experience working with LLM-based NLP use cases, such as text classification, summarization, and information extraction, applying these techniques in real projects under senior guidance.
Hands-on experience using Azure Databricks, developing and running notebooks and jobs, and transforming data with PySpark and Spark SQL in distributed environments.
Practical experience with data ingestion and preparation, pulling data from files and APIs, handling structured and semi-structured data, and performing basic data quality and parsing checks.
Exposure to the Azure data and AI ecosystem, with an understanding of how storage, data pipelines, and AI/LLM components fit together in end-to-end workflows.
Professional experience writing clean, maintainable Python code, organizing logic into reusable modules, and collaborating via Git/GitHub (branches, pull requests, code reviews).
Experience using AI-assisted development tools (e.g., Copilot) to improve development speed while following team standards for code quality and security.

Personal Attributes:

Curious and empathetic, naturally inclined to ask questions and uncover the real needs behind stakeholder requests.
Attentive and context-aware, actively listening to understand business priorities, challenges, and pain points.
Analytical and structured, able to break problems into manageable components and think critically when assessing data challenges or solution options.
Organized and methodical, ensuring clear documentation, transparent communication, and consistent follow-through.
Ability to have and maintain a helicopter-view on organizational level, being able to connect seemingly unrelated developments, and keeping track of what's happening in other teams and departments.
Open-minded and inclusive, valuing diverse perspectives during co-creation sessions, workshops, and refinement discussions.
Have a positive attitude and be able to connect with different personalities.

Become part of the Mercedes-Benz CAC and experience the following benefits:

Multicultural, dynamic, and international work environment
Attractive salary range: €4.515 - 6.450 gross for 40h/week
Initial training followed by a buddying program for optimal preparation
Individual development plan for personal & professional growth
200 holiday hours (full-time) and 8% holiday allowance
Annual performance-based salary increases & company bonus system
Relocation package: travel costs covered and providing 6 weeks of accommodation (if applicable)
Flexible transport options: free bike, public transport, or allowance
Discounted collective health insurance
Non-contributory pension plan (fully paid by the employer)
Flexible hybrid work model (after onboarding)
40 working hours
Discounts on gym, sports classes, restaurants & shops
Events organized by the company where you can connect with colleagues from all departments

Becoming ... One of Us

Is this the right position for you? Simply upload your application documents including CV and letter of motivation in English via the Apply button.

For data protection reasons, we cannot accept applications via other channels.

Mercedes-Benz Customer Assistance Center Maastricht NV

Vacatures

Data Scientist | BI & Data Science

Data Scientist | BI & Data Science