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Blue Shield of California · 1 month ago

Data Scientist, Consultant

California, United States

Full-time

Hybrid

Mid Level

3+ years exp

Blue Shield of California is seeking a Data Scientist, Consultant to join their Advanced Analytics team. In this role, you will leverage AI and machine learning to drive business outcomes by analyzing data to uncover insights and predict behaviors.

Financial ServicesHealth InsuranceNon Profit

H1B Sponsor Likely

Responsibilities

Collaborate with product owners and business stakeholders to identify opportunities for process optimization and decision-making improvements

Perform data exploration and visualization using Python on DataBricks, Tableau, and Python Notebooks to understand the signal-to-noise ratio in datasets

Partner with the data engineering team for rapid prototyping of training data sets using SQL, Apache Spark, and other tools

Conduct feature engineering using appropriate techniques for the given data and business problem

Develop robust model validation procedures and generate performance metrics for evaluation and monitoring

Act as the subject matter expert in applied ML for claims, premiums, member risk scores, and other business contexts

Drive the lifecycle of machine learning projects from ideation to deployment, ensuring timely delivery and maintaining documentation

Perform literature reviews to inform statistical modeling approaches and best practices

Translate business requirements into technical specifications and design scalable pipelines with data engineers

Assist in transitioning from on-prem infrastructure to the cloud

Convert text-based data into feature data sets for predictive analytics

Develop materials to explain project findings

Lead and contribute to Generative AI projects, including model development and deployment for applications like natural language generation and image synthesis

Stay updated with advancements in Generative AI and incorporate relevant techniques into projects

Collaborate with cross-functional teams to integrate Generative AI solutions into products and services

Conduct experiments and research to explore new applications of Generative AI in healthcare

Provide mentorship on Generative AI techniques and best practices

Perform other projects or duties as assigned

Qualification

Machine LearningGenerative AIStatistical ModelingData TransformationPythonSQLCloud EnvironmentsFeature EngineeringMLOpsCollaborationCommunicationMentorship

Required

Requires a bachelor's degree in mathematics, statistics, computer science, or an equivalent quantitative scientific discipline

Requires 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 discipline

Must 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 audience

Proficiency in scalable data transformation techniques using SQL, SAS, Spark, or equivalent

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

Hands-on experience with cloud environments such as Azure and Google Cloud and nice to have experience in DataBricks

Understanding 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 explainability

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

Experience in experimentation design and A/B testing

Knowledge and experience in Generative AI techniques and applications, including natural language generation, image synthesis, and automated content creation

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

Ability to develop and deploy generative models for various applications

Understanding of ethical considerations and best practices in the development and deployment of Generative AI solutions

Ability to partner, collaborate with, and lead relevant stakeholders across diverse functions and experience levels

Company

Blue Shield of California

Glassdoor3.8

Blue Shield of California is a health insurance service provider.

Founded in 1939

San Francisco, California, USA

5001-10000 employees

https://www.blueshieldca.com

H1B Sponsorship

Blue Shield of California has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (1)

2022 (41)

2021 (20)

2020 (31)