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Data Scientist Lead

EVA Pharma · Giza, El Omraniya, Egypt · Hybrid

  • Pharmaceuticals & Biotech
  • 1,001–5,000 employees
  • Haram, Giza

Weak hiring record · median 238 days open

1414

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Ghost risk

Open 262 days · How we score

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  • Open 262 days
  • 82% of this employer's openings are over 60 days old

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Data Scientist Lead at EVA Pharma. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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.

Skills

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