Data Scientist, Consultant
Company Name:-
Blue Shield of California
Job Location:-
Oakland, CA
Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionJob Summary
The Advanced Analytics team at Blue Shield of California is seeking a Senior Data Scientist to join us in transforming healthcare through innovation.
We partner with a wide array of stakeholders to build impactful solutions for our members and providers.
We are awed by the complex problems before us, and undaunted by the challenge.
If there is data and a problem statement, we are building a solution.
The Data Scientist works on building AI-enabled solutions and applying advanced techniques to a wide range of questions.
You will dive into the operational details of adjudicating claims and build a model to optimize routing or recommend next best action.
You will follow our members journey through the healthcare landscape and stratify their risk for care management interventions.
You will analyze surveys and measure sentiment.
From the minutiae of desk level procedures to macro population trends, there are no problems too big or small for your keen eyes and open mind.
Responsibilities:Collaborate with product owners and business stakeholders to identify opportunities to optimize processes and decision-making.
Evaluate business requirements and develop recommendations execution plan for machine learning solutions.
Perform scientific literature review to inform statistical modelling approaches and best practices to achieve model validity.
Translate business requirements into machine learning technical specifications, and partner with analytic data engineers to design scalable and reusable pipelines.
Perform data exploration using combination of statistical programming languages (R, Python, SAS, Julia, etc.
) and visualization tools/frameworks (Tableau, D3, ggplot, seaborn, etc.
).
Develop rapid prototypes of training datasets from multiple sources including RDBMS, semi-structured and unstructured data using combination of tools and scripting languages (SQL, Apache Spark, etc.
).
Collaborate with data engineers to scale prototypes into production data pipelines.
Conduct feature input design and create features as part of continuous integration/development process.
Build machine learning models using an array of machine learning frameworks (scikit-learn, MLlib,
FOR MORE DETAILS CLICK BELOW LINK
