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City of Hope · 21 hours ago

Senior Data Scientist - Remote

United States

Full-time

Remote

Mid, Senior Level

$56/hr - $90/hr

3+ years exp

City of Hope is a transformative organization focused on changing lives in the fight against cancer and other life-threatening illnesses. The Senior Data Scientist will collaborate with various stakeholders to build and deploy machine learning and AI solutions, manage complex projects, and provide expertise in data science technologies for decision support.

AssociationEducationHealth Care

Comp. & Benefits

Responsibilities

Collaborate with administrative and business leaders, clinicians and IT specialists

Query large datasets from multiple systems

Build machine learning and AI solutions and deploy them to production

Design and implementation of pilots for validation and optimization of models

Produce technical documentation, visualizations and presentations

Lead projects with multiple work streams or complex tasks

Project management for complex tasks

Complete individual or collaborative projects independently

Provide key subject matter expertise and leadership in applying data science and AI technologies for business, administrative, and clinical decision support

Provide mentorship and guidance to more junior staff

Performs other related duties as assigned or requested

Qualification

Machine LearningData ScienceStatistical ModelingPythonCloud ServicesSQLData VisualizationProject ManagementMentorshipProblem SolvingCommunication Skills

Required

PhD degree in computer science, engineering, statistics, mathematics, physics, or fields related to data science with 0+ years of experience as a data scientist, Master's degree with 3+ years of experience; or Bachelor's degree with 5+ years of experience

Preferred

Familiarity with a health care environment and EHR data

Experienced using time series analysis to model temporal data to solve complex problems

Proficient designing, training, testing, deploying, and monitoring machine learning models to solve a wide array of problems

Experienced using linear regression, boosted trees, deep learning and other techniques as needed to build models that support daily operations

Experienced using LLMs and agentic frameworks to create production-level applications

Cloud services platforms like Amazon AWS and Microsoft Azure

Awareness of the most recent trends and developments in the Data Science and Machine Learning field

Data expert with measurable track record within industry or academic environment, developing and successfully implementing statistical and machine learning models for classification, regression and clustering

Experience with relational databases and SQL queries

Skilled in Python and well-versed in its machine learning libraries, such as pandas, scikit-learn, TensorFlow, PyTorch, LangChain, and more

Solid experience in machine learning techniques: linear regression, boosted trees, clustering, and deep learning (CNNs, RNNs, Transformers, Large Language Models, embeddings)

Proficient in implementing the machine learning lifecycle, including feature selection, model training, validation, testing, deployment, and ongoing monitoring

Advanced knowledge of probability, statistics, and scientific computing

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

Ability to turn users' requirements into a production-level applications

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

Experience mentoring or leading teams of data scientists

Track record of academic publications, or extensive experience in developing and implementing production-grade models