Informacje o stanowisku

Client:

Groupe SII

Location:

Job Category:

Other

EU work permit required:

Yes

Job Reference:

45b9a92651a1

Job Views:

22

Posted:

23.01.2025

Expiry Date:

09.03.2025

Job Description:

Are you a Data Scientist who wants to pioneer advances in biotechnology? Do you have a knack for applying advanced machine learning and generative AI to push the fields boundaries? If so, we invite you to consider joining our outstanding team. As a leading IT and engineering services provider, we offer an innovative and dynamic work environment where your expertise can make a difference.

You will have the opportunity to work on cutting-edge projects driving the biotechnology industry forward. We value creativity, collaboration, and a passion for continuous learning. Our team is made up of talented professionals who are dedicated to pushing the boundaries of what is possible with technology.

If you are ready to take on new challenges and contribute to groundbreaking work, we want to hear from you. Join us and be part of a team that is shaping the future of biotechnology.

Your Role:

1. Leading the execution of complex data science projects, ensuring successful and timely delivery.
2. Developing and deploying machine learning models to address business challenges, such as predicting outcomes, classifying data, and generating recommendations.
3. Utilizing statistical methods to analyze data, test hypotheses, and provide actionable insights.
4. Collaborating with various departments to create data-driven strategies and deliver practical insights.

Your Skills:

1. Proficiency in Python, including experience with PySpark, PyTest, Pylint, and code formatting tools like black.
2. Extensive knowledge of machine learning methodologies and generative AI techniques.
3. Strong background in applied statistics, encompassing statistical tests, probability distributions, regression analysis, and maximum likelihood estimators.
4. Expertise in data transformation and data visualization techniques to solve complex business problems and communicate findings to both technical and non-technical stakeholders.
5. Fluency in English at least at the C1 level.

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