# Data Scientist Lead

**Company:** [Eva Pharma](http://jobs.workable.com/companies/cVu9CoRuY1pLdxtN9NyNNA.md)
**Location:** Giza, Egypt
**Workplace:** hybrid
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/7a132119-405c-4a42-9e5d-e3fbbcf89595)

## Description

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 Lead** 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:

-   Lead, coach, and mentor junior and mid-level data scientists through regular feedback, code reviews, and technical guidance.

-   Define and enforce technical standards and best practices across modeling, experimentation, documentation, and deployment.

-   Own the end-to-end data science lifecycle, from problem framing and data exploration to modeling, validation, and production deployment.

-   Design and deliver machine learning and predictive models aligned with business priorities, while partnering with product, engineering, and business stakeholders.

-   Review and approve modeling approaches and performance metrics, translate insights for non-technical audiences, support team growth, and drive adoption of emerging AI/ML techniques.

## Requirements

-   7+ years of experience in Data Science and Machine Learning, with proven team leadership and mentoring experience.

-   Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and hands-on experience with ML frameworks such as TensorFlow, PyTorch, XGBoost, and LightGBM.

-   Solid foundation in statistics, experimentation design, and model evaluation techniques.

-   Proven experience deploying and maintaining machine learning models in production environments.

-   Excellent communication, leadership, and stakeholder management skills.