Data Scientist
Core
Develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large datasets and create analytics solutions for customer needs.
Role type
Data Scientist (Applied Analytics & Machine Learning)
Builds
Analytics solutions, predictive models, and commercially viable products/services
Domain
Biotechnology / Industrial Data Analytics (via careerplan.io/jobs/R-246001-data-scientist-at-amgen)
Required skills
Machine learning algorithms, statistical techniques, hypothesis testing, regression analysis, clustering, classification, feature extraction, exploratory data analysis, MLOps pipeline development
Preferred skills
Python, TensorFlow, PyTorch, Scikit-learn, time-series forecasting, cloud platforms (AWS/Azure/GCP), Databricks, SAS, SPSS, R
Technologies
TensorFlow, PyTorch, Scikit-learn, AWS, Azure, Google Cloud, Databricks, SAS, SPSS, R, MLOps
Responsibilities
Develop analytics to address customer needs and opportunities; Work alongside software developers to translate algorithms into products; Perform exploratory and targeted data analyses; Model/analytics experiment and development pipeline leveraging MLOps; Work with data engineers on data quality assessment and cleansing; Generate reports and code artifacts to document work; Share findings with team members in SAFe Agile delivery
Seniority
Mid-level (2-5 years experience)
