Senior Data Scientist - Machine Learning
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Job Summary
Job Summary (List Format): Senior Data Scientist Machine Learning
- Design develop and deploy AI/ML models to deliver measurable business impact.
- Own the full lifecycle of machine learning projects from problem framing and data preparation to model training deployment and monitoring.
- Ensure models are accurate scalable and aligned with organizational goals.
- Translate complex business needs into practical AI solutions with clear performance metrics and governance.
- Promote transparency and compliance in AI development including Responsible AI practices (fairness bias mitigation explainability).
- Collaborate with stakeholders to identify AI opportunities define project scope and communicate risks/trade-offs.
- Build and manage robust data pipelines feature stores and MLOps workflows to support production ML systems.
- Ensure governance and regulatory compliance (GDPR ISO ICAO) through audits risk assessments and transparent reporting.
- Present insights and recommendations to senior leadership driving adoption of AI/ML initiatives.
- Serve as a subject matter expert supporting enterprise-wide AI strategy and best practices.
- Design develop and deploy AI/ML models to deliver measurable business impact.
- Own the full lifecycle of machine learning projects from problem framing and data preparation to model training deployment and monitoring.
- Ensure models are accurate scalable and aligned with organizational goals.
- Translate complex business needs into practical AI solutions with clear performance metrics and governance.
- Promote transparency and compliance in AI development including Responsible AI practices (fairness bias mitigation explainability).
- Collaborate with stakeholders to identify AI opportunities define project scope and communicate risks/trade-offs.
- Build and manage robust data pipelines feature stores and MLOps workflows to support production ML systems.
- Ensure governance and regulatory compliance (GDPR ISO ICAO) through audits risk assessments and transparent reporting.
- Present insights and recommendations to senior leadership driving adoption of AI/ML initiatives.
- Serve as a subject matter expert supporting enterprise-wide AI strategy and best practices.
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
