Data Scientist
About Team Rockstars IT
Team Rockstars IT is a community of over 500+ Rockstars who excel in Data, AI, Software, Cloud, and Security Engineering. They are proud of their informal culture, where fun, growth, and knowledge sharing are central. They offer the freedom to innovate and the opportunity for continuous personal development, believing in 'work hard, play hard' and celebrating successes together through events like annual ski trips and tech gatherings.
About the Position
Introduction
Are you a Data Scientist with a passion for discovering hidden patterns, building predictive models, and transforming data into valuable insights? Then you are the Rockstar we are looking for! At Team Rockstars IT, you will work on innovative projects for leading clients, where your expertise will have a direct impact on their success. From retail to healthcare, from fintech to logistics; the diversity of projects is enormous. Does this sound like your next adventure? Then read on!
Responsibilities
As a Data Scientist at Team Rockstars IT, you will be the driving force behind data-driven decisions. You will analyze complex datasets, develop advanced algorithms, and translate results into concrete recommendations. You will work closely with business stakeholders to understand their needs and create data solutions that truly make a difference. This includes:
- Building predictive models for, for example, customer behavior, fraud detection, or inventory optimization.
- Developing and implementing machine learning models in production environments.
- Performing A/B tests and analyzing the results to drive product improvements.
- Advising clients on data strategies and the implementation of AI solutions.
- Designing dashboards and reports to visualize complex insights.
Requirements
- A completed Master's or PhD in a quantitative field (e.g., Data Science, AI, Machine Learning, Econometrics, Mathematics, Physics, or similar).
- Minimum of 3 years of relevant work experience as a Data Scientist or in a similar role.
- Expertise in Python and/or R and experience with relevant libraries (scikit-learn, pandas, numpy, TensorFlow, PyTorch).
- Experience with SQL and databases (relational and/or NoSQL).
- Knowledge of cloud platforms such as Azure, AWS, or GCP.
- Experience with Big Data technologies (Spark, Hadoop) is a plus.
- Strong communication skills and the ability to clearly present complex analyses to a broad audience.
- You are proactive, analytical, and results-oriented.
- Dutch language skills preferred (working knowledge required for this role based in the Netherlands).
Benefits
- A competitive salary between €4,000 and €7,000 gross per month (based on a 40-hour work week).
- A lease car or mobility budget, so you can always work comfortably anywhere.
- An unlimited training budget. Yes, really! With us, you keep growing and developing yourself.
- An annual ski trip to Austria (check our Insta!). Fun guaranteed!
- Various tech events, knowledge sessions, and drinks throughout the year, because knowledge sharing and fun go hand in hand.
- An informal culture, short lines of communication, and plenty of room for your own initiative.
- A group of enthusiastic, driven, and passionate colleagues who are just as crazy about IT as you are.
About Company
Team Rockstars IT is a community of over 500+ Rockstars who excel in Data, AI, Software, Cloud, and Security Engineering. We are proud of our informal culture, where fun, growth, and knowledge sharing are central. We offer the freedom to innovate and the opportunity for continuous personal development. We believe in 'work hard, play hard' and love to celebrate successes together, whether it's during our annual ski trip or at one of our legendary tech events.
How to Apply
Are you ready to take your career as a Data Scientist to the next level? Apply directly via the application button. If you have any questions, please contact Lies van den Bersselaar at 06-12629474 or lies.van.den.bersselaar@teamrockstars.nl. We look forward to meeting you!
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Location
Nederland
Type
Full-Time
Keywords
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