Data Scientist

il y a 7 jours

Luxembourg Sogeti, part of Capgemini Temps plein

SOGETI is looking for a **Data scientist specialised in the Artificial Intelligence** to join our company.

As part of the Insights & Data department composed of smart & dedicated people like yourself who make an impact with both internal and client stakeholders, you will be involved in **IT projects related to data life cycle** management as well as in **AI projects**, from our office in Bertrange or directly on client premises.

At SOGETI, consultants can work with a variety of different customers, tools and methodologies; something that would otherwise take many years to gain.

If Artificial Intelligence, data validation, data processing and analysis have no secret for you, then this role is for you

**_ Your challenge/your responsibilities :_**
- Explore and analyze large datasets to extract meaningful insights.
- Preprocess and clean data to ensure its suitability for AI model development
- Design and develop machine learning models using various algorithms and techniques.
- Implement deep learning models for tasks such as image recognition, natural language processing, and recommendation systems.
- Identify and engineer relevant features to improve model performance.
- Collaborate with domain experts to incorporate domain knowledge into feature selection.
- Evaluate model performance using appropriate metrics.
- Fine-tune and optimize models for improved accuracy and efficiency.
- Deploy AI models into production environments.
- Collaborate with software engineers to integrate models into existing systems.
- Implement monitoring systems to track the performance of deployed models.
- Iterate on models based on real-world performance feedback.
- Collaborate with cross-functional teams, including engineers, business analysts, and domain experts.
- Participate in presales activities together with the sales team.
- Communicate complex technical concepts to non-technical stakeholders.

**Qualification/ Technologies**:

- Strong proficiency in programming languages such as Python or R.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Knowledge of deep learning architectures and techniques
- Solid understanding of statistical concepts and methodologies.
- Excellent problem-solving and analytical skills.
- Strong communication skills and the ability to work collaboratively in a team.

**Education**:

- Master's or Ph.D. in a relevant field (e.g., Computer Science, Statistics, Data Science) + 5 years of experience in machine learning field.
- A background check will be requested upon hiring (criminal record, Education degrees, diplomas & certifications)_

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