Data Scientist II

Reposted 5 Days Ago
Be an Early Applicant
Cairo
In-Office
Mid level
Pharmaceutical
The Role
The Data Scientist II will analyze datasets, build predictive models, and create generative AI solutions to support healthcare decisions. Responsibilities include developing dashboards and collaborating with data engineers.
Summary Generated by Built In

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.

Top Skills

Azure
GCP
Hugging Face
Langchain
Power BI
Python
PyTorch
Scikit-Learn
SQL
TensorFlow
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The Company
HQ: Haram, Giza
5,629 Employees
Year Founded: 1997

What We Do

A purpose driven diverse top team that strives to save and improve millions of lives by sustainably offering accessible , high value medicines and health care solutions that address local patients needs

Established in 1997, EVA Pharma is built on the heritage of Les Laboratories Delta, Egypt’s second oldest pharmaceutical company.

Currently EVA Pharma is one of the leading branded generic pharmaceutical manufacturers in the EMEA region. With a CAGR of 30% over the past seven years, it has proudly earned the title of being the fastest growing pharmaceutical company in the region. EVA Pharma successfully operates in branded generics, OTC, food supplements, herbal medicines and veterinary products with 137 pharmaceutical products covering various therapeutic classes including; Neurology, Psychiatry, Cardiovascular, Orthopedics, GIT, Pediatrics, Urology, and Dermatology. The company is home to cutting edge facilities that are internationally recognized for innovation and the highest quality standards. Its exceptional facilities have earned the stamp of approval from international and regional authorities including European medicine agency, Health Canada, sFDA, & GCC enabling EVA Pharma to be a partner for some of the leading pharma companies in the globe

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