Significance, Inc. is looking for a Data Scientist to develop and validate AI/ML models to automate reconciliation, anomaly detection, and financial reporting for finance and audit priorities within the Advana Mercury platform.
Requirements
- Proficiency in Python, SQL, and machine learning libraries.
- Familiarity with ERP and financial data structures.
- Hands-on development or integration experience within ADVANA or equivalent DoD platforms.
- Exposure to ADVANA’s Jupiter or Mercury enclaves, including data pipelines and dashboards.
- Experience with Kubernetes, Docker, AWS GovCloud, or Azure Gov.
- Understanding of LLMs, RAG workflows, or GenAI implementations.
- 3–5 years of experience in applied data science or advanced analytics.
Responsibilities
- Develops and validates AI/ML models to automate reconciliation, anomaly detection, and financial reporting
- Working within Advana Mercury, this role builds pipelines
- integrates models with ERP systems
- ensures outputs meet audit requirements
- Hands-on development or integration experience within ADVANA or equivalent DoD platforms.
- Exposure to ADVANA’s Jupiter or Mercury enclaves, including data pipelines and dashboards.
- Experience with Kubernetes, Docker, AWS GovCloud, or Azure Gov.
Other
- Active Secret clearance
- primarily remote schedule with occasional on-site work in New Cumberland, PA
- Bachelor’s degree in Data Science, Computer Science, or related field.
- Knowledge of audit processes, data, or inventory reconciliation.
- Experience supporting financial analysts or auditors in federal environments.
