Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global healthcare and biotechnology organization is seeking a Senior Data Scientist to join its Data, Analytics, and AI team. The organization focuses on applying advanced data science, artificial intelligence, and machine learning to solve complex business challenges across Commercial and Medical functions while maintaining high standards for data quality, governance, ethics, and regulatory compliance.
The Opportunity
The Senior Data Scientist will develop and implement machine learning solutions that generate meaningful business value from complex datasets. The role will involve collaborating with cross-functional teams, translating ambiguous business challenges into clear analytical initiatives, and delivering production-ready applications that support organizational objectives.
Key Responsibilities
- Drive the development, deployment, and industrialization of enterprise applications using machine learning techniques such as classification, regression, and forecasting.
- Apply machine learning to structured and unstructured data to generate value for Commercial and Medical organizations.
- Help stakeholders define clear, impactful business priorities and use subject matter expertise and existing research to influence decision-making.
- Collaborate with Data Science Product Owners, Data Managers, ML Engineers, MLOps teams, Data Leads, and other cross-functional stakeholders.
- Develop efficient machine learning-based applications that deliver actionable business insights.
- Demonstrate a strong commitment to data ethics, model validation, data quality, governance, and regulatory compliance.
- Develop end-to-end machine learning solutions from conceptualization and prototyping through production deployment and monitoring.
- Apply MLOps best practices to ensure the scalability, reliability, and maintainability of production machine learning applications.
- Translate complex analytical results into clear business stories and recommendations.
- Stay current with emerging developments in artificial intelligence, machine learning, and data science.
Required Qualifications
- Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in Data Science or related roles.
- Proficiency in programming languages such as Python and R.
- Strong knowledge of SQL and database management.
- Strong expertise in Machine Learning and Deep Learning techniques.
- Demonstrated experience developing end-to-end machine learning solutions.
- Experience with data science and cloud computing platforms such as AWS and GCP.
- Excellent verbal and written communication skills, with the ability to present complex data analyses to non-technical stakeholders.
- Proven experience collaborating with cross-functional teams and partnering with Data Science Product Owners, ML Engineers, and MLOps teams.
- Ability to translate ambiguous business challenges into clear, data-driven analytical initiatives.
- Strong understanding of MLOps practices, including CI/CD pipelines, model versioning, and performance monitoring.
- Strong critical-thinking and problem-solving abilities with a detail-oriented approach to data analysis.
Preferred Qualifications
- Experience applying advanced Data Science and predictive modeling techniques within the healthcare or pharmaceutical industry.
- Demonstrated understanding of strict data governance, regulatory compliance, and model validation standards.
- Experience with Deep Learning frameworks such as TensorFlow and PyTorch.
- Contributions to open-source projects or publications in Data Science.
- Relevant certifications in Data Science, Machine Learning, or AI technologies, such as Certified Analytics Professional, AWS certifications, or equivalent credentials.
- Experience working with large and complex datasets using Hadoop, Spark, or other big data platforms.
- Proficiency in applying Machine Learning across areas such as insight generation, ROI calculation, text classification, clustering, and predictive modeling.
- Experience with data visualization tools such as Tableau, Qlik, Data Studio, or similar platforms.
- Experience translating research and analytical findings into concise and compelling business presentations and written communications.
- Strong ability to influence business decisions and strategy through data-driven storytelling.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals globally.
- No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
- No Client Relationship: This company is not a client of SpringCube unless stated.
- To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
- No Liability: SpringCube is not liable for inaccuracies.
