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Data Scientist II

EVA PharmaCairo, Cairo Governorate, Egypt
On-site Full-time

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Experience Level

Experience

Qualifications

Qualifications:Bachelor’s degree in Data Science, Computer Science, Statistics, or a related discipline.2-4 years of experience as a Data Scientist or in a comparable analytical position. Proficient in Python and SQL, with practical experience in machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly preferred; a solid background in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for dashboard and report creation. Experience with cloud platforms (e.g., Azure or GCP), excellent problem-solving skills, and the ability to communicate complex analytical insights effectively to diverse audiences.

About the job

Join EVA Pharma, a pioneering pharmaceutical organization committed to championing Health and well-being as a fundamental human right. Proudly recognized as a top employer, we are dedicated to cultivating a nurturing and innovative atmosphere for our team.

Job Overview:

We are on the lookout for a motivated and skilled Data Scientist II to enhance our vibrant team. The successful candidate will play a pivotal role in our efforts to improve human health and well-being while maintaining the highest standards of excellence in our field.

Key Duties:

  • Gather, cleanse, and scrutinize both structured and unstructured datasets to extract insights and support data-driven decision-making. Develop and validate predictive models and machine learning algorithms to tackle business and healthcare issues.
  • Utilize advanced techniques such as large language models, fine-tuning, and retrieval-augmented generation to devise generative AI solutions in areas like drug discovery, clinical research, and patient engagement.
  • Perform statistical analyses, identify significant patterns and correlations, and design experiments to test hypotheses and assess impact.
  • Convert analytical results into concise, actionable insights through Power BI dashboards and visual reports that guide strategic and operational decisions.
  • Keep abreast of emerging AI and ML technologies, apply contemporary data science tools to boost efficiency, and collaborate with data engineers to deploy and enhance production-ready models.

About EVA Pharma

EVA Pharma is at the forefront of the pharmaceutical industry, dedicated to the belief that health is a fundamental human right. We pride ourselves on creating a workplace that values innovation, support, and the holistic development of our employees.

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