Senior Data Scientist
Foundation
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $56 - $90 per hour
Job Level
Senior
Tech Stack
AWSAzureCloudPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
- 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.
Requirements
- 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
- 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.
Benefits
- Comprehensive Benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningAI solutionstime series analysislinear regressionboosted treesdeep learningLLMsstatistical modelsclassificationregression
Soft skills
collaborationleadershipmentorshipproject managementcommunicationindependenceguidancesubject matter expertise
Certifications
PhD in computer scienceMaster’s degreeBachelor’s degree