Posted 7 months ago
Data Scientist Lead
AI Summary
Leads and mentors a team of data scientists, owns the end-to-end data science lifecycle, and designs and deploys machine learning models to support business priorities at Eva Pharma.
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:
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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.
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Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and hands-on experience with ML frameworks such as TensorFlow, PyTorch, XGBoost, and LightGBM.
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Solid foundation in statistics, experimentation design, and model evaluation techniques.
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Proven experience deploying and maintaining machine learning models in production environments.
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Excellent communication, leadership, and stakeholder management skills.
Skills
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