SCOPE OF ROLE 

Data Scientists at Bright work with teams across the organization to design and build data-driven solutions.  Bright Data Scientists will use advanced analytics to enhance Bright’s health intelligence platform: improving member health, increasing affordability, and making care simpler and more personal.  Examples of DS initiatives include:

• Building predictive models for early identification and population stratification
• Optimizing targeting for clinical programs
• Developing metrics for measuring healthcare quality, outcomes, and network performance

Though individual contributors, Data Scientists must have strong leadership capabilities and experience working in a matrixed environment, with the ability to drive successful development of analytics that support multiple needs throughout a complex and growing organization.

ROLE RESPONSIBILITIES

• Build, maintain, monitor, and improve machine learning (ML) models to solve business problems
• Collaborate with technology teams (e.g. Data Engineering) to deploy solutions into production environments
• Operate in an evolving data environment with a mixture of stable/traditional and new/nontraditional data sources
• Work with business stakeholders and members of Product team to identify and evaluate data science opportunities and develop project plans

MINIMUM QUALIFICATIONS

• Bachelor’s degree in a quantitative discipline (Computer Science, Engineering, etc.)
• Four (4)+ years of progressive data analytics experience
• Highly proficient transforming data with SQL
• Highly proficient building machine learning models with Python (numpy, pandas, scikit-learn)
• Highly proficient using descriptive and inferential statistics to analyze datasets
• Strong written and verbal communication skills

PREFERRED QUALIFICATIONS

• Experience building models with deep learning libraries (Tensorflow, Pytorch)
• Experience transforming large datasets with Spark (PySpark, Scala)
• Experience with business intelligence tools (e.g. PowerBI)
• Experience working with healthcare data, specifically medical and pharmacy claims