Cedars-Sinai Data Scientist in Los Angeles, California
The Data Scientist delivers analytical solutions using programming, data-mining, statistics, machine-learning and visualization techniques. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production models, and communicating findings. Writes clean, performant, reusable code to perform repeatable analyses and to train and deploy models to multiple environments. Assists in making strategic data-related decisions by analyzing and manipulating data and building models to assist in the clinical and operational setting.
Job Responsibilities :
Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL).
Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
Performs exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
Works with business partners to identify areas where data science can best deliver value.
Tests and validates code to ensure robustness of data applications.
Acts as an advisor or thought partner to stakeholders by identifying issues for resolution, providing research expertise and summarizing findings.
Master's Degree Master's degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline.
3 years of professional experience in healthcare or pharmaceutical industries working with electronic medical record data
•Experience programming at an intermediate to advanced skill level with a high-level programming language such as R or Python
•Experience programming at a basic to intermediate proficiency level in SQL
•Demonstrated ability to express complex analytical and technical information to senior management or to audiences with clinical training
•Demonstrated problem solving, analytical reasoning and decision-making skills
•Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources
•Exhibit strong project management skills and experience working independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines.