Data Scientist Lead

EVA Pharma

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.

• 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.