Data Scientist

City of Hope

About The Position

Join the transformative team at City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. The Data Scientist in this role will query and analyze large complex datasets to discover insights to apply to an evolving cancer care delivery environment. The Data Scientist will use data mining, statistics and machine learning to understand relationships and patterns in data, build predictive models and propose actionable solutions.

Requirements

Master’s degree with 0+ years of experience; or Bachelor’s degree with 3+ years of experience
Must be knowledgeable in at least one scientific computing language such as Python (e.g. pandas, scikit-learn, genism, seaborn, tensorflow) or R (e.g. caret, dplyr, ggplot2)
Proficiency in at least one programming language (e.g. Python, Java, C/C++)
Ability to work independently and use creative approaches to problem- solving
Capable of turning questions into testable hypotheses, extracting data from complex databases, creating and evaluating statistical models

Nice To Haves

Familiarity with a health care environment and EHR data
Time series analysis
Awareness of the most recent trends and developments in the Data Science / Machine Learning fields
Experience with data analytics within industry or academic environment, developing and successfully implementing statistical and machine learning models for data mining, classification, prediction and clustering
Experience with relational databases and SQL queries.
Familiarity and experience with Machine learning (RandomForest, XGBoost/ LightGBM, etc.) and deep learning (CNN, RNN, LSTM, etc.) techniques
Experience in data visualization and ability to communicate results to a non-technical audience
Experience in completing end to end projects with minimal to no supervision
Experience in being a part of big projects with many internal and external teams involved
Experience managing collaborative data science projects

Responsibilities

Collaborate with administrative leaders, clinicians and IT specialists
Query large datasets from multiple systems
Build machine learning models
Design and implementation of pilots for validation and optimization of models in real time
Produce technical documentation, visualizations and presentations
Project management for complex tasks
Completes own work independently
Performs other related duties as assigned or requested.