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About the Role

Seeking a Senior Data Scientist to develop, deploy, and industrialize machine learning solutions using structured and unstructured data across Commercial and Medical domains. This role will partner with business and technical teams to translate complex challenges into impactful, data-driven solutions while ensuring strong data quality, governance, model validation, and regulatory compliance.

Responsibilities

• Develop, deploy, and industrialize machine learning solutions using structured and unstructured data across Commercial and Medical domains.
• Partner with business and technical teams to translate complex challenges into impactful, data-driven solutions.
• Ensure strong data quality, governance, model validation, and regulatory compliance.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
• 5+ years of experience in Data Science or related roles.
• Strong proficiency in Python and/or R.
• Strong SQL skills.
• Expertise in Machine Learning and Deep Learning techniques, including classification, regression, and forecasting.
• Experience developing end-to-end ML solutions, from concept and prototyping through production deployment and monitoring.
• Experience with cloud platforms such as AWS or GCP.
• Strong understanding of MLOps, including CI/CD, model versioning, performance monitoring, scalability, and reliability.
• Experience collaborating with Data Science Product Owners, Data Leads, ML Engineers, and MLOps teams.
• Ability to translate ambiguous business problems into clear, data-driven analytical solutions.
• Strong communication and presentation skills with the ability to explain complex analysis to non-technical stakeholders.
• Strong critical-thinking, problem-solving, and data-analysis skills.
• Commitment to data ethics, governance, model validation, and regulatory compliance.
• Healthcare or pharmaceutical industry experience.
• Experience with TensorFlow or PyTorch.
• Experience with Hadoop, Spark, or other big-data platforms.
• Experience with predictive modeling, text classification, clustering, ROI analysis, and insight generation.
• Experience with data visualization tools such as Tableau, Qlik, or Data Studio.
• Experience developing compelling business presentations and insights that influence business decisions and strategy.

Skills

• Python
• R
• SQL
• Machine Learning
• Deep Learning
• Classification
• Regression
• Forecasting
• MLOps
• CI/CD
• Model Versioning
• Performance Monitoring
• Scalability
• Reliability
• AWS
• GCP
• TensorFlow
• PyTorch
• Hadoop
• Spark
• Big Data Platforms
• Predictive Modeling
• Text Classification
• Clustering
• ROI Analysis
• Insight Generation
• Tableau
• Qlik
• Data Studio
• Data Visualization
• Communication
• Presentation
• Critical-thinking
• Problem-solving
• Data Analysis
• Data Ethics
• Data Governance
• Model Validation
• Regulatory Compliance

Location

• South San Francisco, CA

Work Type

• Long-Term Contract

Experience Level

• 5+ years of experience in Data Science or related roles.

Education Level

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.

Benefits

• Medical
• Paid Sick Leave
• 401 (k)

About the Company

• Our client, a world leader in biotechnology and life sciences.