Data Scientist

Role Overview

Sparksoft is hiring a Data Scientist to improve program data quality, build automated reporting, and develop statistical and machine learning models to support Centers for Medicare & Medicaid Services (CMS) fraud, waste, and abuse detection.

Responsibilities

• Collaborate with product owners, customers, and leaders to shape data-driven strategies.
• Develop solutions to address business challenges and continuously improve data quality and data accessibility.
• Work with data operations and reporting teams to design, develop, and execute automated data reporting solutions (quality and performance focused).
• Research and build statistical models for data analysis.
• Apply machine learning/AI to detect anomalies and trends; support informed decision-making.
• Run data pilot analysis and comparative performance analysis.
• Streamline performance and data quality analysis across multiple data sources.
• Develop and deploy machine learning models into production, collaborating with engineers/developers.
• Monitor model performance and refine/update algorithms as needed.
• Design and maintain analytics reports and dashboards; provide ad-hoc analysis for customer needs.
• Present insights to business owners and leadership.
• Transfer knowledge by training team members on processes.
• Participate in Agile ceremonies (sprint planning, daily stand-ups, retrospectives) and contribute to testing progress/challenges.
• Continuously improve testing processes, tools, and techniques for efficiency and effectiveness.

Required Experience

• 5+ years as a Data Scientist (or similar).
• Experience with data analytics tools: SQL, R, Python.
• Data visualization experience with tools such as Tableau, Power BI, or AWS QuickSight.
• Experience designing, training, validating, and deploying machine learning models.
• Cloud experience: AWS, Azure, and GCP.
• Version control: GitHub.
• Database knowledge including PostgreSQL and Oracle, plus data modeling.
• Agile experience using SAFe and Scrum; tools such as Jira and Confluence.
• Strong communication and collaboration skills; proactive problem-solving in a fast-paced, deadline-driven environment.

Nice-to-Haves

• (Implied by the role) Experience in analytics/modeling for government healthcare fraud/waste/abuse use cases.