Data Scientist

il y a 3 semaines

Brussels, Belgique Proximus Group Temps plein

The team you would join is responsible for the entire lifecycle of data science use cases which can take place in collaboration with one of our external partners or stem from any of the Proximus group affiliates (such as Proximus NV/SA, BICS, Telesign). Typical use cases can cover machine learning domains such as predictive maintenance, network analytics, operational efficiency, customer relationship management, image recognition and natural language processing.

The vision and ambition of the team you join is
- to create business value by transforming data into actionable insights that drive operational processes or influence strategic decisions
- to become a Belgian (and eventually European) reference in AI-driven activities recognized by peers from all sectors
- to contribute to the Belgian society through various do-good initiatives

Role description

As our frontline Data Scientist, you will drive the development of end-to-end solutions for data science use cases. By taking up a use case right from the start you will help business define and scope the problem, pick the right machine learning solution and technology as well as ensure implementation, integration and deployment of your solution to production. You will do so while understanding that machine learning is rarely a magic bullet and that clear planning, communication and managing clients’ expectations are vital for project success.

**Responsibilities**:

- Fully manage Data Science project from inception to production
- Build a project roadmap with the requestor, provide accurate time estimates, and manage expectations
- Translate business requests into data requirements, extract the required structured and unstructured data from the data lake, data warehouse and other data sources (e.g., operational systems) and prepare large-scale datasets for modelling
- Identify high-value use cases through data exploration and visualization
- Develop predictive models using state-of-the-art machine learning and statistical methods
- Pilot prototypes in production processes to demonstrate their value
- Deploy prototypes to production, with support of IT, to obtain reliable, scalable systems
- Present your results in a clear manner and discuss them with multi-functional project teams
- Work in close collaboration with business experts (e.g., for requirement gathering, data source identification, data and process understanding, feature engineering, result validation, etc.), with IT (e.g., for ETL, deployment to production, etc.) and with other data scientists in the team (e.g., for knowledge sharing)

Degree & Experience
- PhD or Master's degree in a quantitative field (Artificial Intelligence, Computer Science, Engineering, Statistics, Mathematics, etc.)
- 2+ years of relevant work experience
- Previous consultancy experience would be ideal, but is not required
- Prior exposure to Telecom, Fraud, Computer Vision, or Marketing Analysis (CRM) is considered a plus

**Profile**:

- Strong knowledge of state-of-the-art machine learning and statistical methods (both supervised and unsupervised learning techniques)
- Hands-on experience with Python and its machine learning ecosystem.
- Experience with Cloud technology (Azure)
- Experience with project management, stakeholder management and expectations management
- Proven proficiency in the end-to-end data science project life cycle

The following are considered a plus
- Containerized deployment of ML products - e.g., docker, podman, Kubernetes
- Deep learning (e.g., Tensorflow, PyTorch), big data (e.g., Spark, Hadoop) and real-time streaming
- MLOps practices, e.g., orchestration with Airflow, Gitlab CI/CD, etc.

Attitudes/Behavior
- Pro-active & driving
- Result-oriented and highly proficient in transforming data into actionable insights that create business value
- Able to manage data science projects in an autonomous and professional way and drive collaboration with external domain experts, data engineers and other data scientists
- Organised and structured
- Strong communication and presentation skills
- Passionate about data science and a constant learner
- Flexible
- Interested to work on many different short projects
- Knowledge in the field of telecommunications is a plus

Languages

Fluent in English as well as Dutch and/or French.

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