About the job
We are excited to announce an opening for an Experienced Data Scientist fluent in English, who will provide expert services based in Brussels, Belgium. The selected candidate will join our team and collaborate closely with a prominent client’s IT team.
Key Responsibilities:
- Gather business requirements and create advanced data mining solutions, while also assessing and implementing relevant existing data mining, machine learning, and business intelligence solutions;
- Design and specify presentation interfaces optimized for user experience;
- Identify, collect, convert, and update various data types and sets across multiple locations using ETL processes;
- Develop data models tailored to specific problem statements;
- Engage in scripting and programming activities;
- Contribute to the design and implementation of the analytics architecture and its solution stack, with a focus on performance, physical design, and capacity planning;
- Create documentation related to tasks and collaborate with other project teams to manage cross-project dependencies.
Qualifications:
- A university degree in IT or a relevant discipline, combined with a minimum of 17 years of professional experience in IT;
- At least 5 years of experience in Python, R, and Bash scripting;
- A minimum of 3 years of specialized experience in data analysis and visualization;
- Expertise in ETL processes and tools such as Talend Open Studio;
- Strong command of Perl, Matlab, R, and its NLP/ML libraries (e.g., SpaCy, NLTK, scikit-learn, pandas);
- Extensive knowledge of continuous code delivery and unit testing practices;
- Proficiency in AWS and/or Azure platforms;
- Familiarity with business intelligence tools like Tableau, SAS, SAP, and GoodData;
- Solid understanding of SQL tooling (including NoSQL DB, MongoDB, Hadoop, SQL);
- Knowledge of database mining systems and big data technologies;
- Expertise in areas such as predictive modeling, prescriptive analytics, sentiment analysis, topic detection, and anomaly detection;
- Excellent command of the English language.
Benefits:
- Advanced Tools: Utilize state-of-the-art AI, machine learning, and advanced analytics technologies.
- Ongoing Development: Enhance your skills through challenging projects, knowledge sharing, and continuous training.
- Culture of Innovation: Work alongside cross-functional teams to develop groundbreaking data-driven solutions.
- Collaborative Environment: Influence and contribute to cross-departmental initiatives.
