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 Science Specialist at Nasdaq analyzing financial crime data for insights. Collaborating with teams to create impactful reports and presentations for fraud detection solutions.
Responsibilities
- Analyze client deployment data to quantify solution ROI, measuring fraud losses prevented, efficiency gains, and investigation time saved.
- Leverage consortium data from 2,700+ financial institutions to produce industry benchmark reports and peer performance comparisons.
- Partner with sales and marketing teams to create data-driven customer success stories, case studies, and presentation materials that demonstrate product effectiveness.
- Monitor aggregated data to identify emerging fraud trends and money laundering patterns, translating findings into thought leadership content.
- Present analytical insights to customers and stakeholders in executive briefings, quarterly business reviews, and industry conferences.
Requirements
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of experience in data science or analytics roles
- Strong proficiency in SQL and Python (or R) for data analysis and visualization
- Excellent communication skills with proven ability to translate complex findings into compelling narratives for non-technical audiences
- Collaborative mindset with experience working across marketing, sales, and product teams in a matrixed environment
Benefits
- flexible work arrangements
- professional development programs
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