Data Scientist
Role details
Job location
Tech stack
Job description
You'll join our Data Science team, part of the Information Technology (IT) department; A diverse and ambitious group of experts from three continents. We work closely with both technical and non-technical teams across Odido. You'll collaborate with colleagues in B2C, B2B, Finance, and Technology, building models designed for production from day one., Your growth path at Odido isn't fixed in advance, you can go in any direction, horizontally too. I get the chance to gain new knowledge across different finance domains and keep collecting new experiences. Here you truly chart your own route., That's possible temporarily under certain conditions: a maximum of 30 working days per 12 months, only within the EU (and a few designated countries), and with prior approval from your manager. Working from abroad on a long-term basis is not permitted.
Yes, Odido offers learning opportunities and a personal development budget of up to €1,000 per year (pro-rated for part-time), to spend on relevant training in consultation with your manager.
At Odido we work with a modern tech stack in which programming languages such as Java and Python and cloud solutions play an important role. The exact technologies vary by team and role, but the focus is on scalable, data-driven and future-proof solutions.
At Odido we work hybrid. This means that as an IT specialist you work partly from home and partly in the office, depending on your role and activities. The guideline is that you are present in the office part of the week to promote collaboration and knowledge sharing, and you can work flexibly from a distance the rest of the time. Working fully remote is not the standard.
For roles within Network Operations, an on-call or standby arrangement may be part of the position. This means you are available outside regular working hours on a rota basis to resolve incidents.
Requirements
- Honesty, people-first and proactive mindset
- Thinking in solutions, not problems
- Drive to continuously improve, * Master's degree (WO) in AI, Machine Learning, or Data Science
- 4-7 years' experience as a (Senior) Data Scientist, preferably within telecom
- Deep knowledge of AI/ML and hands-on experience with Generative AI
- Proven experience with LLMs (essential)
- Strong experience with libraries such as TensorFlow, Keras, H2O, XGBoost, Scikit-learn, Hyperopt
- Skilled in deploying solutions on AWS and on-prem environments
- Proficiency in Python, SQL, and Git (essential); experience with Docker, Drone, and Airflow is a plus
- Must live in The Netherlands
Nice-to-Have Skills
- Experience with text-to-image models
- Experience with diverse algorithms (deep learning, regression, decision trees, gradient boosting, reinforcement learning)
- Knowledge of the Google AI stack for Natural Language Processing
- Familiarity with telecom data models or customer-interaction datasets
- Experience with data and model governance, explainable AI, and production ML pipelines
- Native or fluent Dutch speaker
Even though we have many different colleagues, we look for a few typical Odido traits in every new team member. You need to be able to handle a changing organisation. The world of communications changes every day, and we need to grow along with it. Being naturally curious and interested in the technology we work with and the industry we're in helps enormously.
Benefits & conditions
- Competitive salary in line with your experience
- Bonus that matches your role
- Real impact on the critical infrastructure of NL