Data Scientist
Cedars-Sinai
full-time
Posted on:
Location Type: Remote
Location: Remote • Arizona, California, Colorado, Florida, Minnesota, Nevada, Oregon, Texas • 🇺🇸 United States
Visit company websiteSalary
💰 $105,955 - $169,520 per year
Job Level
JuniorMid-Level
Tech Stack
Amazon RedshiftOraclePythonSQL
About the role
- 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 & 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.
- Creates database-to-deployment pipelines for models using the vital 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 sophisticated analytical methods.
- Tests and validates code to ensure robustness of data applications.
Requirements
- Two (2) plus years of experience in healthcare, clinical research, or pharmaceutical industries working with electronic medical record data.
- Experience programming at an intermediate to advanced skill level with the Python programming language.
- Experience programming at intermediate proficiency level in SQL (Oracle, Redshift preferred).
- Experience with predictive model data preparation and feature engineering.
- Experience managing production level predictive analytics.
- Regression, Time Series, XGBoost, Random Forest, SVM, Naive Bayes (standard Scikit learn models). Data Robot experience a plus.
- Demonstrated ability to express complex analytical and technical information to senior management or to audiences with clinical training.
- 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.
- Bachelor’s Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related field.
- Master’s or PhD preferred.
Benefits
- outstanding benefit package
- competitive salaries
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
programmingdata miningstatisticsmachine learningdata visualizationPythonSQLRpredictive modelingfeature engineering
Soft skills
communicationproblem-solvinganalytical thinkingstrategic decision-making
Certifications
Bachelor’s DegreeMaster’s DegreePhD