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Data Engineer - Data Scientist

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Recruiter: ABWRecruitment
Listed on: 10th February
Location: Brussels Belgium
Type: Contract

My Client a Leading Pharmaceutical Company based in Belgium requires a Data Engineer/ Data Scientist

Data Engineer

Mission Description:

Advanced Analytics and AI are high on the agenda at the company and we are looking to strengthen our internal team of AI experts with a particular focus on sales & marketing.

In this context we are looking for an outstanding data engineer with strong Python & Spark skills to contribute to the development of analytics workflows focused on insights generation, prescriptive analytics and decision support apps.

 

Responsibilities:

  • Assemble large, complex datasets that meet functional/non-functional business requirements.
  • Help to define the analytical scope and data for projects, including investigating data sources, designing new features and data integration flows.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing their results.
  • Utilizing a diverse array of technologies and data science toolsets as needed, primarily Python, Spark and Pandas, but also Jupyter, Denodo, Azure DevOps, Docker, AWS, Databricks, GIT, SQL, ...
  • Communicate ideas, approaches and results with peers and stakeholders

 

Requirements:

-          Mastery of Python, Spark and Pandas to create pipelines for data scientists to use; knowledge of one or more data pipelines frameworks is a plus

-          At least 3 years of intensive hands-on experience as a full-stack Python data engineer: Python, Spark, Pandas, NumPy, SciPy, visualization (matplotlib), machine learning (scikit-learn), data pipeline orchestration (kedro)

-          Good knowledge and experience with versioning systems (GIT)

-          Good knowledge and experience with databases

-          Knowledge of distributed computing and parallel processing

-          Advanced degree in a relevant discipline such as: Statistics, Applied Mathematics, Operations Research/Optimization, Computer Science, Computational/Theoretical Physics, Data Science/visualization, Machine Learning, Electrical/Computer Engineering or Health Sciences (e.g. Bioengineering /Bioinformatics)

-          Experience in extracting, cleaning, preparing and modeling data. Experience with command-line scripting, data structures, and algorithms.

-          Ability to work across structured, semi-structured, and unstructured data

-          Strong presentation and communication skills towards peer data scientists and non-technical stakeholders.

-          Ability to work individually and in teams.

-          Experience with the healthcare / pharmaceutical industry is a plus.

-          Experience with sales & marketing analytics is a plus.

 

Data Scientist

Mission Description -Data Scientist

Mission Description:

Advanced Analytics and AI are high on the agenda at the company and we are looking to strengthen our internal team of data scientists with a particular focus on sales & marketing.

In this context we are looking for an outstanding data scientist with strong Python skills to contribute to the development of analytics workflows focused on insights generation, prescriptive analytics and decision support apps.

 

Responsibilities:

  • Help to drive the analytical scope and method for projects, including formulating and shaping data integration and analytics methods
  • Use statistics, machine learning and visualizations to derive key insights
  • Write optimized code in python to advance our internal data science toolbox
  • Communicate ideas, approaches and results with peers and stakeholders

 

Requirements:

-          Mastery of Python for data science tasks (at least 4 years of intensive hands-on experience)

-          Experience in statistical modelling, forecasting, and machine learning

-          Good knowledge and experience with versioning systems (GIT)

-          Strong presentation and communication skills towards peer data scientists and non-technical stakeholders

-          Ability to work individually and in teams

-          Experience with Spark is a plus

-          Experience with the Kedro pipeline package is a plus

-          Experience with Azure DevOps is a plus

-          Experience in applying data science methods to sales & marketing is a plus

-          Experience with the healthcare / pharmaceutical industry is a plus

-          Languages:  English

Contact Name: Eilidh Smith
Reference: TJ/7244/JSLES1046
Job ID: 2896684



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