Staff Data Scientist
Mission Lane147,000 - 179,000 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Healthtech, Data ScienceIndustries
Requirements
Candidates should possess a Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, and have at least three years of experience in data science, with a focus on machine learning and statistical modeling. Strong proficiency in Python and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch are required, as well as experience with SQL and relational databases. Familiarity with cloud computing platforms like AWS or Azure is preferred, and a solid understanding of data warehousing concepts and ETL processes is essential.
Responsibilities
The Staff Data Scientist will architect data pipelines and analytical frameworks to support the development and deployment of models for predicting patient risk, conducting causal analyses, and evaluating value-based care programs. They will evaluate, select, implement, and deploy appropriate machine learning, statistical, and causal inference methodologies for clinical data analysis, ensuring technical rigor and validity. The role involves close collaboration with Engineering, Product, Clinical Operations, Analytics, and Client Success teams to build analytics systems that provide actionable insights, and they will establish and enforce technical standards and best practices for data analysis and system design. Additionally, the Staff Data Scientist will mentor other data scientists and analysts and provide technical leadership in the design and implementation of data and machine learning infrastructure.
Skills
Data pipelines
Machine learning
Statistical modeling
Causal inference
Data analysis
Data infrastructure
ML methodologies
Clinical signal analysis
Predictive modeling
Collaborative skills
Pearl Health
Healthcare technology platform for providers
About Pearl Health
Pearl Health provides a platform designed to improve the efficiency and effectiveness of healthcare providers, including doctors and practice managers. The platform automates routine tasks, allowing providers to spend more time on patient care. It offers tools for tracking patient data and managing care teams, which helps providers gain transparency and credit for their work. Additionally, Pearl Health supports value-based care by enabling providers to monitor their performance through numerical data and graphs, helping them understand patient outcomes better. The platform also identifies at-risk patients, allowing for timely interventions. Pearl Health differentiates itself by focusing on technology that enhances care delivery and patient outcomes, while maintaining high customer satisfaction and retention. The company's goal is to empower healthcare providers to deliver better care through effective data management and support.
Key Metrics
New York City, New YorkHeadquarters
2020Year Founded
$73MTotal Funding
DEBTCompany Stage
Enterprise Software, HealthcareIndustries
51-200Employees