Data Scientist Lead
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Before you apply
LocationGiza, El Omraniya, Egypt
Work modeon-site
Typefull-time
SeniorityLead
Experience7+ yrs
DepartmentData Science
Company size1,001–5,000 people
PostedFeb 13, 2026 · 8mo ago
Verified live3d ago
May no longer be actively hiring
Posted by the company on Feb 13, 202673% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
7+ years of experience in Data Science and Machine Learning
Proven team leadership and mentoring experience
Strong proficiency in Python (Pandas, NumPy, Scikit-learn)
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
Skills
Python
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
XGBoost
LightGBM
Machine Learning
About the company
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.
About the role
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.
Responsibilities
Key Responsibilities:
•
Lead, coach, and mentor junior and mid-level data scientists through regular feedback, code reviews, and technical guidance.
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Define and enforce technical standards and best practices across modeling, experimentation, documentation, and deployment.
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Own the end-to-end data science lifecycle, from problem framing and data exploration to modeling, validation, and production deployment.
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Design and deliver machine learning and predictive models aligned with business priorities, while partnering with product, engineering, and business stakeholders.
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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
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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.