DSI Systems Inc., an authorized AT&T partner, is seeking a Payroll Accountant with strong payroll tax expertise to oversee compliance across multiple states and entities. This role is responsible for reviewing third-party tax filings and deposits, researching complex tax issues, performing withholding audits, and preparing supplemental reports for jurisdictions not covered by the vendor. The Payroll Accountant will also handle tax correspondence, update unemployment rates, liaise with tax authorities regarding notices or penalties, and support quarter and year-end activities, including W2 corrections and reconciliations.

This position will collaborate closely with Payroll, Accounting, and Human Resources to ensure accurate reporting of transferred employee wages and taxes while supporting additional tax projects, audits, and account setups or closures. Success in this role requires proven knowledge of federal, state, and local payroll tax laws, experience with multi-entity and multi-state environments, strong Excel skills, and exceptional attention to detail. ADP Enterprise, ADP Reporting, and ADP Smart Compliance experience are highly preferred.

This position will report to our office in Richardson, Texas.

About DSI

About the Role

We are a data science-driven special investigations unit that uses data across employers, insurers, and contractors to prevent fraud in the insurance space, with a focus on workers' compensation and personal injury fraud. We're building smarter, more predictive systems that will shape the future of fraud detection in blue-collar industries.

What We're Looking For

We need a talented Data Scientist to work at the intersection of data and engineering, applying statistical analysis, machine learning, and thoughtful experimentation to uncover fraud and assess labor risk. You should have a strong problem-solving mindset and excellent communication skills.

What You'll Do

• Design and implement statistical models and machine learning algorithms to detect fraudulent patterns.
• Analyze large-scale datasets to derive actionable insights for internal and customer-facing applications.
• Work cross-functionally with leadership, engineering, and users to align data initiatives with business goals.
• Collaborate closely with engineering and product teams to bring data science solutions into production.
• Shape the intelligence layer of our platform by applying thoughtful experimentation and model evaluation techniques.

Requirements