Data Scientist

Remote • Posted 9 hours ago • Updated 9 hours ago
Full Time
Remote
Fitment

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Job Details

Skills

  • LOS
  • Network
  • Statistics
  • Collaboration
  • Optimization
  • Real-time
  • Technical Writing
  • Presentations
  • Project Management
  • Health Care
  • Time Series
  • Data Analysis
  • Data Mining
  • Clustering
  • Relational Databases
  • SQL
  • Computational Science
  • Pandas
  • scikit-learn
  • TensorFlow
  • R
  • Machine Learning (ML)
  • XGBoost
  • Deep Learning
  • Python
  • Java
  • C
  • C++
  • Problem Solving
  • Conflict Resolution
  • Database
  • Statistical Models
  • Data Visualization
  • Supervision
  • Management
  • Data Science

Summary

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.

Key Responsibilities include:
  • 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.

Your qualifications should include:
  • 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

City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.

City of Hope is an equal opportunity employer.

To learn more about our Comprehensive Benefits, please CLICK HERE
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX16118e
  • Position Id: 968d168f798c1dab2e66d6e4b80ce27e
  • Posted 9 hours ago
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