Job Details

Your Role

The Advanced Analytics team collaborates across the Blue Shield of CA enterprise to accelerate business outcomes through AI/machine learning, statistical methodologies, and unstructured data analysis techniques. The Data Scientist, Consultant, reports to the Director of Advanced Analytics. In this role, you will solve problems such as text analytics of customer feedback, clinical notes, predicting disease progression, analyzing population health programs, clustering member behaviors, creating propensity models, and geospatial analysis to uncover social determinants of health.

Your Knowledge and Experience

• Requires a bachelor's degree in mathematics, statistics, computer science, or a related quantitative discipline.


• Requires at least 3 years of professional Data Science or ML experience, or a Ph.D. in operations research, applied statistics, data mining, machine learning, or a related field.


• Ability to translate business problems into ML solutions and communicate AI insights to non-technical audiences.


• Proficiency in scalable data transformation using SQL, SAS, Spark, or similar tools.


• Proficiency in open-source languages such as Python, R, and Julia.


• Experience with cloud platforms like Azure and Google Cloud; experience with DataBricks is a plus.


• Understanding of statistical methods and advanced modeling techniques (e.g., SVM, K-Means, Random Forest, Boosting, Bayesian inference, NLP).


• Experience with machine learning and deep learning frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch).


• Knowledge of evaluating AI solutions for fairness, bias, accuracy, drift, validity, robustness, and explainability.


• MLOps experience, including good design documentation, unit testing, integration testing, and version control (git).


• Experience in experimental design and A/B testing.


• Knowledge of Generative AI techniques and applications, including natural language generation, image synthesis, and automated content creation.


• Experience with Generative AI frameworks such as GPT, GANs, and VAEs.


• Ability to develop and deploy generative models for various applications.


• Understanding of ethical considerations in Generative AI development and deployment.


• Ability to collaborate with and lead stakeholders across functions and experience levels.