Senior Data Analytics Solutions Expert
We are seeking an experienced Senior Data Analytics Solutions Expert to join our team in Luxembourg.
* Develop data-centric solutions using data analytics and artificial intelligence techniques.
* Provide guidance, support, and training for AI and DA tasks for both technical and non-technical audiences.
* Prepare architectural outputs related to Ai and DA.
* Collect and analyze business requirements.
* Perform technical analyses and create specifications for Ai and DA solutions.
* Conduct exploratory data analyses to identify, interpret, and analyze patterns and trends in complex datasets for diagnosis and prediction.
* Design, model, develop, manage, and review end-to-end DA and Ai products, prototypes, and proof of concepts on both on-premise and cloud data platforms.
* Implement MLOps practices, including automated testing and quality assurance.
* Maintain DA and Ai products, including troubleshooting, bug fixing, performance analysis, and technical migrations.
* Architect, design, deploy, and manage components of data platforms.
Your profile should include:
* Bachelor's degree in Computer Science, Information Technology, or any related field.
* Business analysis skills.
* Strong analytical skills, capable of identifying patterns and gaps while exploring data.
* Deep knowledge of statistical analysis and data-driven decision-making.
* Extensive experience with Data Science and Ai techniques, particularly in prediction, machine learning, and Generative Ai.
* Proficient in programming languages for data analytics and Ai (e.g., Python, R) and frameworks (e.g., .NET Ai, SpringAi).
* Experienced in machine learning algorithms (e.g., ANN, random forest) and deep learning frameworks.
* Skilled in developing reusable Ai models and Generative Ai APIs.
* Experienced in the industrialization of DA and Ai solutions.
* Knowledgeable about MLOps tools, testing, and quality assurance.
* Proficient with visualization tools.
* Knowledgeable in SQL and No-SQL databases.
* Experienced with orchestration tools and ETL tools.
* Familiar with search engines.
* Knowledgeable in data modeling for data lakes and data warehouses.
* Experienced with cloud environments and containerization.
* English fluency. Any other language would be an asset.