Description
Job description summary
As a data scientist you will be in charge of understanding and translating the business needs into data and advanced analytics specifications, collect, analyse and model the data in order to create understandable statistical visualizations.
General Description
The data scientist plays a key role in gathering the business needs and the development of data collection, data analysis and advanced analytics solutions for NIHDI (INAMI-RIZIV).
The successful candidate will play a key role in analyzing large datasets, developing predictive models, and providing actionable insights to inform strategic initiatives within the institution.
The data scientist sits within the Data Office which is a central organization delivering data products for the different NIHDI business lines. He/she plays a key role in the NIHDI digital transformation by participating in the set up of the new Data Lab. He/she works in an agile mode in close collaboration with the SME (Subject Matter Experts), the Data Engineers, and the Data Architect.
Roles & Responsibilities
- Collaborate with cross-functional teams to identify key business problems and develop data-driven solutions.
- Collect large volume of structured and unstructured data from various sources, in collaboration with the Data engineers and the Data Architect
- Prepare and transform the data into a usable format for analysis
- Utilize advanced statistical and machine learning techniques to analyze complex datasets and extract meaningful insights.
- Design and implement AI solutions by building new predictive models to forecast trends, identify patterns, and optimize decision-making processes.
- Develop data science solutions, ensure the data correctness, conduct troubleshooting, provide maintenance and adequate technical documentation.
- Conduct exploratory data analysis to uncover hidden patterns and correlations within the data.
- Works with the scrum team along the entire project lifecycle to ensure appropriate delivery in an agile and pragmatic approach
- Communicate findings and recommendations to stakeholders through clear and compelling data visualizations, reports, and presentations.
- Actively participate to the set up of the new Data Lab by
- Collecting new business cases
- Setting up the exploration processes and exploration techniques
- Driving innovation by using data
- Actively participate to a Data Science Community, to share best practices and stimulate innovation
- Stay updated on the latest advancements in data science, machine learning, and artificial intelligence, and identify opportunities to apply them within the institution.
Key Skills
- Master or PhD degree in Statistics and Data Science, Computer Science, Mathematics or equivalent
- Minimum 5 years of experience as a data scientist
- Experience in data preparation and data cleaning
- Experience in working with Microsoft SQL Server or equivalent RDBMS
- Machine learning(supervised and unsupervised) and ML training experience
- Very good Knowledge of Python, SQL and R
- Very good knowledge of Git
- Experience in CI/CD pipelines
- Experience in working with health / medical data is a plus
- Eperience in working in an agile project mode.
- Experience in data biases mitigation
- Experience in data privacy, GDPR compliancy
- Experience with Azure DataBricks is a plus
Profile
- Analytical mind with a problem-solving aptitude
- Good technical skills
- Very good communicative skills
- Go-getter profile
- Ability to translate business needs into advanced analytics solutions
- Ability to solve complex business problems through curiosity and technical skills
- Pragmatic approach and delivery focus
- Team player with an ability to work in a collaborative spirit within a transversal organization
- Perseverance, stress resistant and flexible
- Like to learn and open-minded
