Data Scientist Manager

A Data Scientist Manager who leads data-driven initiatives and a team supporting CMS Medicare quality measures and reporting programs at General Dynamics Information Technology.

Responsibilities

• Lead and contribute to targeted CMS Medicare quality reporting programs and related projects.
• Utilize Python, PySpark, and Databricks to interpret, connect, predict, and uncover insights across data sources.
• Collaborate with internal and external teammates to advance the organization’s mission.
• Assess new data sources and data-gathering techniques for accuracy and suitability.
• Apply predictive modeling to enhance customer experience, drive efficiencies, and improve business outcomes.
• Optimize job performance and resource usage by identifying bottlenecks and inefficiencies in backend systems.
• Write clean, maintainable code aligned with established standards and best practices.
• Conduct thorough code reviews, provide constructive feedback, and surface potential risks.
• Debug defects and proactively mitigate issues before they impact users.
• Create and maintain comprehensive technical documentation.
• Actively participate in Agile ceremonies (stand-ups, sprint planning, retrospectives) to ensure effective team communication.
• Engage stakeholders across the organization to identify opportunities to leverage data for business solutions.
• May develop processes and machine learning based tools to monitor model performance and data accuracy.
• Lead and manage a team delivering across similar disciplines with a focus on quality of delivery.

Requirements

• Bachelor of Science degree required.
• Minimum 5 years of experience with CMS Medicare hospital quality measures and reporting initiatives.
• Proficiency with Python, Apache Spark, and Databricks.
• Strong understanding of software design patterns, data structures, and algorithms.
• Experience with Agile development methodologies.
• Background in analytic programming, data extraction, querying databases/data warehouses, and data analysis.
• SAS, R, and AWS experience preferred.

Technologies

• Python
• PySpark
• Databricks
• Apache Spark
• SAS
• R
• AWS

Benefits

• Mission driven culture with people at the center of everything the company does.
• Growth opportunities with AI powered career planning tools that suggest steps and learning opportunities.
• Internal mobility team dedicated to helping achieve your career goals.
• Comprehensive benefits and wellness packages, 401K with company match, competitive pay, and paid time off.
• Award winning culture of innovation and a military friendly workplace.

Salary and Benefits Information

The likely salary range is USD 129,813 to 155,250 per year. Final compensation depends on experience, geographic location, and contractual requirements.

Identity Verification

As part of the hiring process, candidates may be asked to complete an identity verification process that uses biometrics and artificial intelligence to ensure authenticity. On camera interviews are required, and a photo may be captured for verification purposes. Proceeding indicates consent to the collection, processing, and use of biometric data for identity verification and security.

About Our Work

GDIT is a global technology and professional services company delivering solutions to U.S. government agencies, defense and intelligence communities. With 26,000 experts across 50+ countries, we provide capabilities in AI, cloud, cyber, and software development to drive value at the edge of innovation.