Data Scientist II
At a glance
Mid-level Data Science role at Eva Pharma. Cairo · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Prepare structured and unstructured data, then analyze it to find insights that support decisions
- Develop and check predictive models and machine learning methods for business and healthcare problems
- Use large language models, fine-tuning and retrieval-augmented generation for drug discovery, clinical research and patient engagement
- Test hypotheses with statistical methods and experiments, measuring impact and spotting patterns or correlations
- Present findings in Power BI dashboards and reports, and work with data engineers to put models into production
What you bring
- A bachelor's degree in data science, computer science, statistics or a related subject
- Two to four years in data science or a comparable analytical position
- Strong Python and SQL skills, with practical use of scikit-learn, TensorFlow or PyTorch
- A solid grounding in statistics and hypothesis testing, plus Power BI dashboard and reporting skills
Who this fits
This role suits a mid-level data scientist who can turn analysis into clear insights for different audiences. You’ll work onsite in Cairo and collaborate with data engineers on deploying and improving production models.
From the employer
Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.
Job Summary:
We are seeking a passionate and talented Data Scientist II to join our dynamic team. The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.
Key Responsibilities:
- Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges.
- Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement.
- Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact.
- Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions.
- Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
- 2-4 years of experience as a Data Scientist or in a similar analytical role.
- Strong command of Python and SQL, with hands-on experience using 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 desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports.
- Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences.
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