Senior Data Scientist

dawarconsulting; South San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Medical

Paid Sick Leave

401 (k)

Job summary

Our client, a world leader in biotechnology and life sciences, seeks a Senior Data Scientist to develop, deploy, and industrialize machine learning solutions across Commercial and Medical domains. You will partner with business and technical teams to translate complex challenges into data-driven outcomes while ensuring data quality, governance, model validation, and regulatory compliance.

The role emphasizes end-to-end ML development, cloud experience, and collaboration with cross-functional

Qualifications

• Bachelor's degree in a quantitative field.
• 5+ years in Data Science or related roles.
• Experience with Python and/or R.
• Strong SQL skills.
• ML/DL techniques including classification, regression, forecasting.
• End-to-end ML solutions from prototyping to deployment and monitoring.
• Cloud platforms such as AWS or GCP.
• MLOps incl. CI/CD, model versioning, monitoring, scalability.

Responsibilities

• Develop, deploy, and industrialize ML solutions across Commercial and Medical domains.
• Partner with business and technical teams to translate challenges into data-driven solutions.
• Ensure data quality, governance, model validation, and regulatory compliance.
• Collaborate with Data Science Product Owners, Data Leads, ML Engineers, and MLOps teams.

Skills

Python/R

SQL

ML/DL techniques

End-to-end ML deployment

Cloud: AWS/GCP

MLOps CI/CD

Data governance & compliance

Cross-functional collaboration

Education

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

Tools

TensorFlow

PyTorch

Hadoop

Spark

Tableau

Data Studio

Job description

Our client, a world leader in biotechnology and life sciences, is looking for a “Senior Data Scientist”. 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.

Job Details

• Location: South San Francisco, CA
• Job Duration: Long-Term Contract (Possibility Of Extension)

Company Benefits

• Medical
• Paid Sick Leave
• 401 (k)

Required Skills & Qualifications

• 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.
• Commitment to data ethics, governance, model validation, and regulatory compliance.

Preferred Skills

• Healthcare or pharmaceutical industry experience.
• Experience with TensorFlow or PyTorch.
• Hadoop, Spark, or other big-data platforms.
• Predictive modeling, text classification, clustering, ROI analysis, and insight generation.
• Data visualization tools such as Tableau, Qlik, or Data Studio.
• Publications, open-source contributions, or relevant Data Science/ML/AI certifications.