TISTA is seeking to solve the problem of creating and maintaining analytic scripts, automation routines, and rule-based detection tools to support fraud analytics and operational reporting
Requirements
- Strong proficiency in Python, SQL, and R for data manipulation and analysis
- Experience with ETL processes, data validation, and automation frameworks
- Familiarity with cloud platforms (AWS, Azure, GCP) and version control tools (Git)
- Exposure to VBA/VA data environments or federal healthcare data is a plus
Responsibilities
- Develop and maintain Python, SQL, and R scripts for analytics and rule-based detection
- Automate data processing tasks to improve efficiency and consistency across workflows
- Assist in model development by preparing features and supporting experimental coding for R&D
- Collaborate with data scientists and engineers to integrate scripts into analytic pipelines
- Provide Python/SQL/R solutions for ad-hoc analysis and operational needs
- Ensure code quality, documentation, and compliance with security and governance standards
Other
- 2–4 years of professional experience in data development, analytics scripting, or similar roles
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field
- Master’s degree preferred for advanced roles
- The ability to pass a Tier 2/Modest Background Investigation
- Ability to work in Agile environments and collaborate across technical teams
