This role pays less than
62%
of similar roles. Most pay
$135,000–$198,000
— the shaded band above.
At the midpoint, this role pays about
$158k
versus about
$166k
for comparable roles.
Based on 240 similar postings.
Employer
About Amgen
Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals
Amgen currently has
60 open roles
on FindRole.
Listed pay typically runs
$136,906–$185,227
across 49 roles with salary data.
Sr Data Scientist
As part of the Data Sciences team in Global Customer Capabilities & Innovation, the Sr Data Scientist will partner with cross-functional teams to develop advanced analytics and data science solutions addressing complex business problems across multiple therapeutic areas and commercial functions. This role involves leading analytical workstreams, translating medical or scientific questions into frameworks, and productionizing machine learning and AI solutions. The successful candidate will design, build, and deploy high-performance algorithms and predictive models using Python, SQL, and PySpark while utilizing libraries like Pandas, scikit-learn, TensorFlow, and PyTorch. Key responsibilities include applying causal inference and experimentation to quantify promotional impact and providing technical leadership through mentorship. The role focuses on solving complex problems within the healthcare sector by analyzing large datasets including claims, patient, and provider data to drive actionable business recommendations.
What does a Data Scientist earn in California?
Median $213878 from 88 postings across 32 companies.
Develop advanced machine learning and AI solutions to address complex business problems across multiple therapeutic areas.
Translate complex medical and scientific questions into actionable analytical frameworks and delivery plans.
Design, build, and deploy high-performance algorithms and predictive models using Python, SQL, and PySpark.
Apply advanced measurement techniques like causal inference and test/control designs to quantify promotional impact.
Provide technical leadership and mentorship while establishing methodological standards for the data science team.
Communicate complex analytical findings to executive stakeholders through clear storytelling and presentations.
Ensure all analytical solutions comply with regulatory, security, privacy, and data governance requirements.
What we're looking for
A Doctorate degree, or Master’s plus 2 years experience, or Bachelor’s plus 4 years experience, or Associate’s plus 8 years of data science experience.
High school diploma or GED with 10 years of data science or related quantitative experience.
Demonstrated experience independently leading end-to-end data science or advanced analytics projects and delivering measurable business value (preferred).
Strong programming skills in Python, SQL, and PySpark (preferred).
Experience designing and applying supervised/unsupervised machine learning models using libraries like scikit-learn, TensorFlow, or PyTorch (preferred).
Experience with large datasets, distributed computing, cloud environments, Databricks/Spark, and Git (preferred).
Strong statistical skills and ability to communicate complex technical analyses as actionable recommendations for business stakeholders (preferred).
Experience with commercial measurement methods like causal inference, attribution, or marketing effectiveness (preferred).