At Datashift, we believe in the power of data science, analytics and artificial intelligence to solve the complex challenges in today's industries. As a Data Scientist, you will play a critical role in advancing the data strategy and use case roadmap for our clients by exploring analytical use cases and scaling intelligence into analytical products across the organization.
As a Data Scientist, you will support clients in:
Exploring analytical and data-driven use cases
Deepen the understanding of the business rationale and value behind potential use cases, ensuring alignment with organizational objectives
Conduct thorough analyses of available data, identify data gaps, and assess the feasibility of proposed solutions
Build MVP analytical products using techniques such as prediction, simulation, forecasting, and classification to address identified business challenges
Transform analytical insights into actionable business initiatives through in-market experimentation, demonstrating proof of value
Scaling intelligence into industrialized analytical products
Deploy models into production and optimize MVPs into scalable solutions
Continuously monitor model performance
Maintain, update, and retrain models as necessary
Collaborate with data engineers, data governance experts, and data producers to ensure robust and reliable underlying data pipelines
Work with digital application experts to integrate intelligence into workflows for employees, customers, and partners, ensuring data-driven decision-making in operations and realizing measurable benefits
As a Data Scientist, you are expected to take ownership of your projects and deliver high-quality results autonomously. Additionally, you'll have the opportunity to mentor and coach junior colleagues, sharing your expertise and contributing to their growth.
Your qualifications
Strong statistical and analytical foundation with a strategic and value-driven mindset, and at least 2 years of relevant experience
Proficient in statistical analysis, data mining techniques, and general data best practices
Understanding of a coding language (Python, R, etc.) or a strong eagerness to learn if not yet mastered
Experience with Machine Learning operations (MLOps) is a plus
Master's degree in Mathematics, Statistics, Computer Science, Information Management, Engineering, or a related field
Excellent communication and interpersonal skills, with the ability to collaborate effectively with business and technical stakeholders
Fluent in English; Dutch is considered a significant plus
Our offer
A highly entrepreneurial team
A no-nonsense working environment with a focus on high quality
Excellent terms of employment, including a company car, fuel card, meal vouchers, and bonus
Fringe benefits, including continuous training that builds and extends professional, technical, and management skills in all areas
The opportunity to grow with Datashift in terms of capabilities as well as financial benefits
The chance to work on projects related to cutting-edge technologies
With our offices in Mechelen, Leuven, and Gent, you can work from several locations