About
Job Description
Description:
Blue Shield of California is seeking Innovation Data Engineer for the Health Innovation Technology department to play a key role in realizing goals and objectives for healthcare transformation. Reporting to the Director of Product Integration & Delivery, this individual will be responsible for data exploration, actionable insights discovery and related "art-of-possible" prototype development for new and emerging innovative technology and advanced analytic capabilities. This is a high-visibility role to share knowledge, agile problem-solving skills and creative solutions through partnership with application developers, product owners, and multiple stakeholders in a collaborative environment.
Responsibilities:
* Exploration of new/emerging AI & Machine Learning and Advanced analytic platforms through partnership with internal business and IT Stakeholders
* Research, analysis, creation and presentation of innovative ideas and product concepts through pitch-decks and prototype development
* Data mining of claims and membership data extracts using advanced SQL/ETL tools and techniques.
* Ad-hoc data insights requests and translate into presentation as "data stories"
* Expansion of data exploration capabilities through third party data sources (clinical, social determinates, etc.)
* Research, document and provide findings on new and emerging technology concepts to broader audience.
Qualifications
* 5 years of experience with advanced analytics, business intelligence, data warehouse, big data, machine learning and/or artificial intelligence, including serving in integration and technical delivery roles, such as SQL/ETL developer, data scientist, and/or machine learning specialist
* Proven experience with data visualization and insights tools, such as Tableau and/or SAS, from prototype development through production deployment
* Experience working with large data sets, such as health information exchanges (HIE)
* Demonstrated proficiency in design and writing advanced SQL/ETL queries and Oracle tools. Including, experience and hands on expertise developing batch and/or real-time data extract applications
* Experience working with Information Architects, Data Analysts, DBAs and interface with multiple supporting business teams.
* Experienced in both SDLC & agile development methodologies
* Must be data-oriented with a highly curious mindset
* Strong communication and presentation skills (PowerPoint) at all levels of leadership
* Experience in healthcare highly preferred, but not required
* Highly preferred Data Scientist experience:
o Machine learning frameworks experience, such as TensorFlow, Keras, Microsoft Azure ML, etc.
o Experience with common data science tool kits, such as R and/or Python
o Understanding of machine learning techniques and algorithms, such Boosted Decision Trees, Naive Bayes, SVM, Decision Forests, etc.
Education:
Requires a minimum of a Bachelor's Degree in CS, Computer Engineering, Statistics, Machine Learning, Mathematics or Industrial Engineering. Master's Degree strongly preferred.