About Company
TomTom is the leading independent location technology specialist, driving mobility with highly accurate maps, navigation software, real-time traffic information, and APIs. Our vision is a world where everyone can make their way confidently and safely. We create innovative technologies that help millions of people around the world every day. With a strong presence in the automotive, enterprise, and developer industries, TomTom leverages vast datasets and cutting-edge algorithms to power a multitude of location-based services. We are a global team of diverse, talented individuals united by a passion for technology and a commitment to pushing the boundaries of what’s possible in the world of location intelligence. Join us and be a part of shaping the future of mobility, where your contributions directly impact how people experience and interact with the world around them.
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Job Description
We are seeking a talented and passionate Python Developer for Data Science to join our innovative team in Amsterdam. In this crucial role, you will be instrumental in developing, optimizing, and deploying robust Python-based solutions for our diverse data science initiatives. You will work closely with data scientists, machine learning engineers, and product managers to translate complex analytical models into production-ready code, ensuring scalability, reliability, and performance. This position offers a unique opportunity to apply your expertise in Python development within a rich data environment, focusing on areas such as geospatial analytics, real-time traffic prediction, and autonomous driving. You will be responsible for creating data pipelines, implementing machine learning algorithms, and building tools that enable more efficient data exploration and model deployment. If you have a strong foundation in Python programming, a keen interest in data science, and a desire to contribute to groundbreaking location technology, we encourage you to apply. Your work will directly impact millions of users globally by enhancing the accuracy, intelligence, and reliability of TomTom’s products and services, making every journey better.
Key Responsibilities
- Develop, test, and deploy production-grade Python code for data science models and applications.
- Collaborate with data scientists to optimize existing algorithms and implement new ones for performance and scalability.
- Design and build robust data pipelines for data ingestion, transformation, and feature engineering.
- Ensure code quality, maintainability, and adherence to best practices through code reviews and documentation.
- Contribute to the MLOps framework by assisting in the deployment, monitoring, and maintenance of machine learning models.
- Troubleshoot and debug data science applications and infrastructure.
- Research and integrate new data science tools and technologies to improve efficiency and capabilities.
- Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.
Required Skills
- Proficiency in Python programming, including experience with object-oriented design and development.
- Strong understanding of data structures, algorithms, and software engineering principles.
- Experience with Python data science libraries (e.g., Pandas, NumPy, Scikit-learn, SciPy).
- Familiarity with SQL and experience working with relational databases.
- Solid understanding of version control systems, particularly Git.
- Ability to write clean, well-tested, and documented code.
- Experience with building and maintaining data pipelines.
- Excellent problem-solving skills and attention to detail.
Preferred Qualifications
- Master's degree or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
- Knowledge of big data technologies (e.g., Spark, Hadoop).
- Familiarity with containerization (Docker) and orchestration (Kubernetes).
- Experience with MLOps practices and tools.
- Understanding of geospatial data and related libraries (e.g., GeoPandas, Shapely).
- Prior experience in a similar role within a technology-driven environment.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health insurance and pension scheme.
- Flexible working hours and hybrid work model.
- Opportunities for professional development, training, and conferences.
- Modern office environment with state-of-the-art facilities.
- Generous vacation and paid time off.
- Employee assistance programs.
- Access to a vibrant, international, and inclusive work culture.
- Employee discounts on TomTom products.
How to Apply
Interested candidates are encouraged to click on the application link below. Please submit your resume and a cover letter detailing your relevant experience and why you are a great fit for TomTom.
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