Data Scientist
Brussels, Brussels, Belgium
Korrogo
Search for jobs hiring near you with using Korrogo’s job search tool. The best way to find part time, full time, remote it jobs. Apply jobs hiring with 1 click.Daily Rate: 480 per day Type: Near Site, Full-time Deadline: 21/02/2024 Duration: 4 years (with extensions) Eligibility: EU country citizen
Overview: We are currently seeking a talented Data Scientist to join our client's team in Brussels, Belgium. As a Data Scientist, you will play a pivotal role in analyzing and interpreting complex datasets to provide valuable insights and solutions. This is an excellent opportunity for a skilled professional looking to contribute to cutting-edge projects in a dynamic environment.
Responsibilities:
- Utilize advanced analytical techniques to extract meaningful patterns and insights from large datasets.
- Develop predictive models and algorithms to support decision-making processes.
- Collaborate with cross-functional teams to identify business objectives and translate them into analytical tasks.
- Design and implement data-driven solutions to address specific business challenges.
- Present findings and recommendations to stakeholders in a clear and compelling manner.
Requirements:
- Proven experience as a Data Scientist or similar role, preferably in a corporate environment.
- Proficiency in programming languages such as Python, R, or SQL.
- Strong background in statistical analysis, machine learning, and data mining techniques.
- Excellent problem-solving skills and attention to detail.
- Effective communication skills with the ability to convey technical concepts to non-technical audiences.
- EU country citizenship is mandatory for this role.
If you are a proactive and analytical individual with a passion for data-driven decision-making, we encourage you to apply for this exciting opportunity. Join us in shaping the future of data analytics in Brussels!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data Analytics Data Mining Machine Learning Python R SQL Statistics
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