Insight Global
Overview
The Lead Data Scientist/Engineer plays a pivotal role in supporting the Medicare Clinical Stars program by providing technical expertise in data engineering, particularly focusing on Google Cloud Platform (GCP) and Hadoop ecosystems. This role involves working within a team of data engineers, acting as a liaison between the Data Intelligence group and the Clinical Stars Data Science group, and providing technical support to enable data-driven insights for clinical stars initiatives. The Lead Data Engineer collaborates closely with data scientists, engineers, and stakeholders to design, develop, and maintain scalable data pipelines, analytics solutions, and machine learning models that drive improvements in Medicare clinical outcomes.
Responsibilities
Design, develop, and maintain scalable data pipelines and analytics solutions.
Collaborate with data scientists, engineers, and stakeholders to implement data-driven insights for Medicare Clinical Stars initiatives.
Lead and mentor data engineering efforts, acting as a liaison between the Data Intelligence group and the Clinical Stars Data Science group.
Develop and deploy machine learning models that support clinical outcomes improvements.
Qualifications
Bachelors Degree
Extensive experience in data engineering, with a focus on designing, developing, and maintaining data pipelines and analytics solutions using GCP and Hadoop technologies
Strong expertise in Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Pub/Sub, Dataproc, and related data processing and storage technologies
Ability to build data pipelines from scratch
Ability to lead initiatives through completion
Experience working in healthcare or health insurance domains, with knowledge of Medicare programs and clinical quality measures (e.g., HEDIS, STAR ratings)
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo). The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf).
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
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The Lead Data Scientist/Engineer plays a pivotal role in supporting the Medicare Clinical Stars program by providing technical expertise in data engineering, particularly focusing on Google Cloud Platform (GCP) and Hadoop ecosystems. This role involves working within a team of data engineers, acting as a liaison between the Data Intelligence group and the Clinical Stars Data Science group, and providing technical support to enable data-driven insights for clinical stars initiatives. The Lead Data Engineer collaborates closely with data scientists, engineers, and stakeholders to design, develop, and maintain scalable data pipelines, analytics solutions, and machine learning models that drive improvements in Medicare clinical outcomes.
Responsibilities
Design, develop, and maintain scalable data pipelines and analytics solutions.
Collaborate with data scientists, engineers, and stakeholders to implement data-driven insights for Medicare Clinical Stars initiatives.
Lead and mentor data engineering efforts, acting as a liaison between the Data Intelligence group and the Clinical Stars Data Science group.
Develop and deploy machine learning models that support clinical outcomes improvements.
Qualifications
Bachelors Degree
Extensive experience in data engineering, with a focus on designing, developing, and maintaining data pipelines and analytics solutions using GCP and Hadoop technologies
Strong expertise in Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Pub/Sub, Dataproc, and related data processing and storage technologies
Ability to build data pipelines from scratch
Ability to lead initiatives through completion
Experience working in healthcare or health insurance domains, with knowledge of Medicare programs and clinical quality measures (e.g., HEDIS, STAR ratings)
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo). The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf).
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
#J-18808-Ljbffr