Data Scientist - Brussels, België - Proximus Group

Proximus Group

Geverifieerd bedrijf

Brussels, België

3 weken geleden

Geplaatst door:

Sophie Dubois

beBee Recruiter

Beschrijving

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 largescale datasets for modelling
Identify highvalue use cases through data exploration and visualization
Develop predictive models using stateoftheart 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 multifunctional 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 stateoftheart machine learning and statistical methods (both supervised and unsupervised learning techniques)
Handson 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 endtoend 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 realtime streaming
MLOps practices, e.g., orchestration with Airflow, Gitlab CI/CD, etc.

Attitudes/Behavior

Proactive & driving
Resultoriented 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.