Lead Data Scientist

CVS Health • Work At Home-Massachusetts, MA

1d

About The Position

We are seeking a candidate with a keen sense of natural curiosity who will play a crucial role in enhancing claim and appeal operation and driving innovation through the application of data science. In this position, you will be responsible for leveraging advanced analytics including machine learning and large language model techniques to develop products that significantly improve the efficiency and accuracy of the claim and appeal operation process. You will be working on Engaging various business stakeholders to translate complex business problems into technical requirements, define data science solutions fitting into the business process, and define the steps to build the solution Leading and guiding junior data scientists, working along with product managers and data engineers to jointly build the solution and achieve business goal Implementing models, developing tool and algorithms to augment processes related to Claims, Appeals and Grievances ecosystem Leveraging analytics to build accurate and efficient solutions and enable automation Identifying and sizing opportunities for analytics to improve efficiency and increase automation in claim and appeal adjudication Developing, validating and executing algorithms and predictive models to investigate problems, detect patterns and recommend solutions Exploring, examining and interpreting large volumes of data in various forms, both structured and unstructured Utilizing advanced statistical techniques and mathematical analyses develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs Using data visualization techniques to effectively communicate analytical results and support business decisions Creating and evaluating the data needs of assigned projects and assures the integrity of the data Exploring existing data and recommends additional sources of data for improvements Documenting projects including business objectives, data gathering and processing, detailed set of results and analytical metrics Building solutions that help with tracking of operational processes and policies and identify opportunities for improvements

Requirements

• 7+ years of relevant Data Science experience
• 7+ years' experience programming in Python
• 7+ years' experience programming in SQL
• 5+ year experience working with Cloud Technology (GCP, AWS or Azure)
• 3+ year experience deploying models in production
• 3+ year of experience in working in an agile product development framework

Nice To Haves

• Experience in Google Cloud/BigQuery
• Strong problem solving experience with a history of making business impact
• Experience with Generative AI, LLM, and NLP
• Experience with healthcare industry and data

Responsibilities

• Engaging various business stakeholders to translate complex business problems into technical requirements, define data science solutions fitting into the business process, and define the steps to build the solution
• Leading and guiding junior data scientists, working along with product managers and data engineers to jointly build the solution and achieve business goal
• Implementing models, developing tool and algorithms to augment processes related to Claims, Appeals and Grievances ecosystem
• Leveraging analytics to build accurate and efficient solutions and enable automation
• Identifying and sizing opportunities for analytics to improve efficiency and increase automation in claim and appeal adjudication
• Developing, validating and executing algorithms and predictive models to investigate problems, detect patterns and recommend solutions
• Exploring, examining and interpreting large volumes of data in various forms, both structured and unstructured
• Utilizing advanced statistical techniques and mathematical analyses develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
• Using data visualization techniques to effectively communicate analytical results and support business decisions
• Creating and evaluating the data needs of assigned projects and assures the integrity of the data
• Exploring existing data and recommends additional sources of data for improvements
• Documenting projects including business objectives, data gathering and processing, detailed set of results and analytical metrics
• Building solutions that help with tracking of operational processes and policies and identify opportunities for improvements

Benefits

• medical
• dental
• vision coverage
• paid time off
• retirement savings options
• wellness programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior