Data Scientist developing AI agents and advanced analytics solutions for Ciena. Focused on machine learning, generative AI, and delivering business value through intelligent data - driven tools.
About the role
- Data Scientist focused on advanced analytics and machine learning algorithms to combat fraud for a health solutions partner. Collaborating with teams to interpret complex data and improve fraud detection models.
Responsibilities
- Develop and implement advanced analytics techniques, including machine learning algorithms and predictive models, to assess fraud risk
- Combine, interpret, and analyze highly complex data from multiple sources to uncover patterns, anomalies, and risk indicators
- Collaborate with Business Analysts, Data Analysts, and cross‑functional partners to understand requirements, validate models, and support decision-making
- Continuously improve processes, algorithms, and models based on operational changes, investigator feedback, and emerging fraud trends
- Monitor for new fraud risks and build or update models to stay ahead of evolving threats
- Maintain thorough documentation for workflows, models, algorithms, databases, and code repositories
- Ensure compliance with privacy, security, and data protection standards.
Requirements
- Education or equivalent experience in data science, analytics, statistics, engineering, or a related field
- 5+ years of progressive experience applying data science and machine learning in real-world environments
- Background working with federal contracts or government-regulated datasets is considered a significant advantage
- Proficiency in Python or R, SQL, Git/GitHub, and data visualization tools such as Power BI, or willingness to learn
- Professional certifications in data science or programming (Microsoft, Google, IBM, etc.) are considered an asset
- Strong communication skills—able to present complex information clearly to both technical and non‑technical audiences
- A highly analytical mindset with the ability to independently interpret data, identify relationships, and draw meaningful conclusions
- Curiosity and a drive to continuously learn and adapt
- Strong time‑management skills with the ability to prioritize, organize, and act with appropriate urgency
- Collaborative mindset and strong relationship‑building skills
- English fluency; French is considered an asset.
Benefits
- Competitive pay
- Comprehensive benefits
- Opportunities for personal and professional growth
- Flexible work options
- Supportive leadership
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