Our client, a world leader in biotechnology and life sciences, is looking for a
“Senior Data Scientist”.
Location:
South San Francisco, CA
Job Duration:
Long-Term Contract (Possibility Of Extension)
Company Benefits:
Medical, Paid Sick Leave, 401 (k)
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.
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
.