EP
Eva Pharma
Data Scientist

Data Scientist Lead

On-siteStaffData Scientistposted 6mo ago
Role summaryAI-generated

The **Data Scientist Lead** at Eva Pharma oversees end-to-end data science initiatives, mentors junior/mid-level teams, and enforces technical standards for modeling, experimentation, and deployment in a pharmaceutical setting, ensuring scalable, high-impact solutions for health outcomes.

Skills required

About this role

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.
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