Data Scientist

Role Overview

• The Data Scientist will ensure continuous improvement of the program’s data quality through solutions and strategies to address business challenges.
• This role involves working closely with data operations and reporting teams to design, develop, and execute automated data reporting solutions with the highest standards of quality and performance.
• This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively in a SAFe Agile environment.
• The Data Scientist will play a critical role in improving the quality and accessibility of data solutions to support the Centers for Medicare & Medicaid Services (CMS) in detecting and preventing fraud, waste, and abuse within government-sponsored health programs.
• Collaborate with product owners, customers, team members, and leaders to shape data-driven strategies.
• Develop solutions and strategies to address business challenges.
• Research and devise innovative statistical models for data analysis.
• Automate repetitive reports and deliveries.
• Apply statistical methods, machine learning, and artificial intelligence tools to detect anomalies and trends to make informed decisions.
• Run data pilot analysis, comparative performance analysis.
• Streamline performance and data quality analysis on various data sources.
• Develop and deploy machine learning models into production environment by collaborating with other engineers and developers.
• Monitoring model performance, refine/update models algorithms as needed.
• Collaborate with internal teams and developers to design, develop, automate and maintain data analytics reports and dashboards.
• Provide support in ad-hoc analysis to meet customer needs.
• Present insights and findings to business owners, customers, and leadership.
• Able to effectively transfer knowledge and train team members in the processes.
• Participate in Agile ceremonies, such as sprint planning, daily stand-ups, and retrospectives, to provide input on testing progress and challenges.
• Continuously improve testing processes, tools, and techniques to enhance the efficiency and effectiveness of the testing efforts.

Requirements

• 5+ years of experience as a Data Scientist or similar role.
• Experience with data analytics tools (SQL, R, Python) and data visualization tools (like Tableau, PowerBI, AWS Quicksight).
• Experience designing, training, validating, and deploying machine learning models and algorithms.
• Experience with cloud computing tools such as AWS, Azure, and GCP.
• Experience with version control systems (GitHub).
• Knowledge of databases (PostgreSQL, Oracle) and data modeling.
• Experience with agile methodologies (SAFe, Scrum) and tools (Jira, Confluence).
• Excellent communication skills and ability to work collaboratively in a team environment.
• Strong analytical and problem-solving skills and a proactive approach to identifying and addressing issues.
• Ability to work effectively in a fast-paced, agile environment and deadline-driven environment.
• Proven track record of innovation and continuous improvement.
• Must be able to obtain and maintain a Public Trust clearance.
• Must have lived in the United States 3 out of the past 5 years.

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• Oracle
• Postgres
• Python
• SQL
• Tableau

Benefits

• Competitive compensation and a 401(k) with employer contributions to help you plan for the future
• Flexible paid time off and hybrid ways of working that support true work-life balance
• Comprehensive health coverage—including medical, dental, vision, life, and disability insurance
• A curated in-office experience designed to foster community, team connections, and innovation
• Opportunities to give back through Sparksoft Cares, including annual company-wide fundraising events
• Training and development programs that build new skills and prepare you for leadership roles
• A collaborative, transparent, and fun culture—recognized as a Great Place to Work®