REMOTE - Data Scientist - Bus Ops and Finance

Basic education, experience and skills required for consideration:

• Master’s degree with 0+ years of experience; or Bachelor’s degree with 3+ years of experience 

Preferred education experience and skills:

• 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.
• 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)
• Familiarity and experience with Machine learning (RandomForest, XGBoost/ LightGBM, etc.) and deep learning (CNN, RNN, LSTM, etc.) techniques
• 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
• 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 

Additional Information:
As a condition of employment, City of Hope requires staff to comply with all state and federal vaccination mandates.
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City of Hope is committed to creating a diverse environment and is proud to be an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.