Senior Data Scientist

As a Senior Data Scientist at Future Facts Conclusion you love solving real-world problems with math and algorithms. Through using the latest AI and Machine Learning technologies, you create valuable solutions for our customers. You are responsible for (parts of) projects that include the development and productionization of our AI solutions. These vary from original development to the operationalization of large scalable models and the retrainable CI/CD of those models.

An important part of your role as a Senior Data Scientist is making sure that a model contributes to business objectives and finding the balance between perfection and ROI. You are able to develop a visually attractive dashboard for a business, based on livestreaming or sensor data, KPI’s and insights into business value.

Project examples:

• For the largest chocolate manufacturer in the world, Barry Callebaut, our team has developed a model to predict the probability of child labor among local cocoa farmers.
• The project ‘Hollandse Luchten’, which translates roughly to ‘Dutch Skies’, uses experimental technology and investigates the value of new sensor technology for residents of North-Holland. An IoT platform in AWS has been set up in which air quality is continuously measured, together with measurement data from the citizens of North-Holland.

Who we are

Future Facts Conclusion is part of the Hot ITem Group and specializes in AI solutions. We guide data-driven organizations in further growth by using the latest technology in the field of Artificial Intelligence, Machine Learning, Cloud Solutions and Internet of Things. With a team of highly qualified professionals, we realize sustainable impact for people, organizations and society.

(What we offer you)

• A gross salary between €4.300,- and - €6.300,- based on 40h per week
• Possibility to work part-time
• A lease budget and bonus
• A company phone and laptop
• Internet and expenses allowance
• Sabbatical options and good pension insurance
• 27 vacation days and 2 performance leave days
• A personal development plan and opportunities to expand knowledge through courses, training and education
• Hybrid working: control your own working hours, we offer you an easily accessible workplace in Amsterdam with a beautiful view of the IJ
• Weekly chair massage, gym, company boat, roof terrace and Danz Café where you can always have a chat with your colleagues

Your talent

• A university bachelor or master’s degree in a quantitative direction, such as Data Science, Computer Science, Econometrics, Physics, Mathematics or Artificial Intelligence
• 3+ years of relevant experience in applying Data Science and AI solutions (AI, ML, DL)
• Knowledge of Azure, AWS or Google Cloud platforms
• Experience with Python (knowledge of object oriented programming, algorithms and data structures)
• Experience with various Python libraries such as Pandas, NumPy, SciKitLearn, XGboost, Seaborn, Keras, Pytorch
• At least some experience with code standards, GIT and DevOps
• The ability to inspire and inform customers through clear explanation and data storytelling
• Experience with all aspects of the data science process (from problem definition and data collection to industrialization)
• Understanding of the ins and outs of pattern recognition, Machine Learning, statistical analysis and Deep Learning
• An excellent command of both the Dutch and the English language