Blue Shield of CA
Data Scientist, Consultant
Blue Shield of CA, San Diego, California, United States, 92189
Your Role
The Advanced Analytics team works in partnership across the entire Blue Shield of CA enterprise to accelerate business outcomes through the application of AI/machine learning, statistical methodologies, or unstructured data analysis techniques to uncover insights, predict behaviors, and ultimately drive automation to create "intelligence at scale". The Data Scientist, Consultant will report to the Director, Advanced Analytics. In this role you will solve problems which range from but are not limited to, text analytics of customer feedback, conversations, and clinical notes, predicting clinical disease progression, understanding the impact of population health programs, clustering member behaviors, creating propensity models, and geospatial analysis of populations to uncover social determinants of health.
Your Work
In this role, you will:
Collaborate with product owners and business stakeholders to identify opportunities for process optimization and decision-making improvementsPerform data exploration and visualization using Python on DataBricks, Tableau, and Python Notebooks to understand the signal-to-noise ratio in datasetsPartner with the data engineering team for rapid prototyping of training data sets using SQL, Apache Spark, and other toolsConduct feature engineering using appropriate techniques for the given data and business problemDevelop robust model validation procedures and generate performance metrics for evaluation and monitoringAct as the subject matter expert in applied ML for claims, premiums, member risk scores, and other business contextsDrive the lifecycle of machine learning projects from ideation to deployment, ensuring timely delivery and maintaining documentationPerform literature reviews to inform statistical modeling approaches and best practicesTranslate business requirements into technical specifications and design scalable pipelines with data engineersAssist in transitioning from on-prem infrastructure to the cloudConvert text-based data into feature data sets for predictive analyticsDevelop materials to explain project findingsLead and contribute to Generative AI projects, including model development and deployment for applications like natural language generation and image synthesisStay updated with advancements in Generative AI and incorporate relevant techniques into projectsCollaborate with cross-functional teams to integrate Generative AI solutions into products and servicesConduct experiments and research to explore new applications of Generative AI in healthcareProvide mentorship on Generative AI techniques and best practicesPerform other projects or duties as assigned
Your Knowledge and Experience
Requires a bachelor's degree in mathematics, statistics, computer science, or an equivalent quantitative scientific disciplineRequires at least 3 years of professional Data Science or ML experience; or a Ph.D. degree in operations research, applied statistics, data mining, machine learning, or other quantitative disciplineMust be able to demonstrate real-world experience to translate business problems into an ML problem and be able to communicate AI recommendations in a business context to a general non-technical audienceProficiency in scalable data transformation techniques using SQL, SAS, Spark, or equivalentProficiency in open-source languages such as Python, R, and JuliaHands-on experience with cloud environments such as Azure and Google Cloud and nice to have experience in DataBricksUnderstanding of statistical methods and advanced modeling techniques (e.g., SVM, K-Means, Random Forest, Boosting, Bayesian inference, natural language processing)Experience with machine learning and deep learning packages (scikit-learn, XGBoost, Tensorflow, or PyTorch)Knowledge of evaluating solutions for fairness, bias, accuracy, drift, validity, fit, robustness, and explainabilityMLOps experience including good design documentation, unit testing, integration testing, and version control (git)Experience in experimentation design and A/B testingKnowledge and experience in Generative AI techniques and applications, including natural language generation, image synthesis, and automated content creationExperience with Generative AI frameworks and tools such as GPT, GANs, and VAEsAbility to develop and deploy generative models for various applicationsUnderstanding of ethical considerations and best practices in the development and deployment of Generative AI solutionsAbility to partner, collaborate with, and lead relevant stakeholders across diverse functions and experience levels
Pay Range:
The pay range for this role is: $118800.00 to $178200.00 for California.
Note:
Please note that this range represents the pay range for this and many other positions at Blue Shield that fall into this pay grade. Blue Shield salaries are based on a variety of factors, including the candidate's experience, location (California, Bay area, or outside California), and current employee salaries for similar roles.
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The Advanced Analytics team works in partnership across the entire Blue Shield of CA enterprise to accelerate business outcomes through the application of AI/machine learning, statistical methodologies, or unstructured data analysis techniques to uncover insights, predict behaviors, and ultimately drive automation to create "intelligence at scale". The Data Scientist, Consultant will report to the Director, Advanced Analytics. In this role you will solve problems which range from but are not limited to, text analytics of customer feedback, conversations, and clinical notes, predicting clinical disease progression, understanding the impact of population health programs, clustering member behaviors, creating propensity models, and geospatial analysis of populations to uncover social determinants of health.
Your Work
In this role, you will:
Collaborate with product owners and business stakeholders to identify opportunities for process optimization and decision-making improvementsPerform data exploration and visualization using Python on DataBricks, Tableau, and Python Notebooks to understand the signal-to-noise ratio in datasetsPartner with the data engineering team for rapid prototyping of training data sets using SQL, Apache Spark, and other toolsConduct feature engineering using appropriate techniques for the given data and business problemDevelop robust model validation procedures and generate performance metrics for evaluation and monitoringAct as the subject matter expert in applied ML for claims, premiums, member risk scores, and other business contextsDrive the lifecycle of machine learning projects from ideation to deployment, ensuring timely delivery and maintaining documentationPerform literature reviews to inform statistical modeling approaches and best practicesTranslate business requirements into technical specifications and design scalable pipelines with data engineersAssist in transitioning from on-prem infrastructure to the cloudConvert text-based data into feature data sets for predictive analyticsDevelop materials to explain project findingsLead and contribute to Generative AI projects, including model development and deployment for applications like natural language generation and image synthesisStay updated with advancements in Generative AI and incorporate relevant techniques into projectsCollaborate with cross-functional teams to integrate Generative AI solutions into products and servicesConduct experiments and research to explore new applications of Generative AI in healthcareProvide mentorship on Generative AI techniques and best practicesPerform other projects or duties as assigned
Your Knowledge and Experience
Requires a bachelor's degree in mathematics, statistics, computer science, or an equivalent quantitative scientific disciplineRequires at least 3 years of professional Data Science or ML experience; or a Ph.D. degree in operations research, applied statistics, data mining, machine learning, or other quantitative disciplineMust be able to demonstrate real-world experience to translate business problems into an ML problem and be able to communicate AI recommendations in a business context to a general non-technical audienceProficiency in scalable data transformation techniques using SQL, SAS, Spark, or equivalentProficiency in open-source languages such as Python, R, and JuliaHands-on experience with cloud environments such as Azure and Google Cloud and nice to have experience in DataBricksUnderstanding of statistical methods and advanced modeling techniques (e.g., SVM, K-Means, Random Forest, Boosting, Bayesian inference, natural language processing)Experience with machine learning and deep learning packages (scikit-learn, XGBoost, Tensorflow, or PyTorch)Knowledge of evaluating solutions for fairness, bias, accuracy, drift, validity, fit, robustness, and explainabilityMLOps experience including good design documentation, unit testing, integration testing, and version control (git)Experience in experimentation design and A/B testingKnowledge and experience in Generative AI techniques and applications, including natural language generation, image synthesis, and automated content creationExperience with Generative AI frameworks and tools such as GPT, GANs, and VAEsAbility to develop and deploy generative models for various applicationsUnderstanding of ethical considerations and best practices in the development and deployment of Generative AI solutionsAbility to partner, collaborate with, and lead relevant stakeholders across diverse functions and experience levels
Pay Range:
The pay range for this role is: $118800.00 to $178200.00 for California.
Note:
Please note that this range represents the pay range for this and many other positions at Blue Shield that fall into this pay grade. Blue Shield salaries are based on a variety of factors, including the candidate's experience, location (California, Bay area, or outside California), and current employee salaries for similar roles.
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