Senior Data Scientist

Nasdaq is a global tech leader committed to breaking down barriers to inclusive prosperity. As a Senior Data Scientist, you will work with a specialized team of AI researchers to enhance market transparency and efficiency by developing data-driven solutions for complex challenges in the financial industry.

What you'll do:

• Design, research & architect AI/ML solutions across the enterprise
• Establish and maintain clear lines of communication, providing regular updates on project progress, insights, and potential impact on key performance indicators
• Present findings and insights to non-technical partners in a clear and understandable manner, encouraging a collaborative environment for informed decision-making
• Engage with key stakeholders to understand their business objectives and communicate the value proposition of data science initiatives

What they're looking for:

• 1-3 years of experience working as a Data Scientist, ML/AI Engineer or in a similar role
• Bachelor's degree or equivalent experience in Computer Science, Mathematics, Physics, Engineering, Statistics, or another technical field
• Good understanding of the fundamentals of Statistics & Machine Learning (hypothesis testing, p-values, confidence intervals, regression, classification, optimization)
• Fundamentals of Deep Learning (CNNs, RNNs, transformers and other types of Deep Neural Networks)
• Experience manipulating high-volume data in complex, data-rich environments
• Fluency in Python and SQL or other similar relational database management systems
• Excellent verbal and written English skills to guide cross-functional teams on complex data-driven projects
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Nasdaq will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
• Work experience in a corporate environment or finance/fintech industry
• Experience with Deep Learning
• Experience with GenAI (LLMs, RAG workflows, AI Agents, LangChain, LlamaIndex, OpenAI SDK or similar GenAI tools)
• Industry experience with Deep Learning models and methods (Deep Learning Life cycle – from Problem Definition to Model Evaluation and Monitoring)

Benefits:

• Generous annual bonus/commission (short-term incentive)
• Equity (long-term incentive)
• Comprehensive benefits
• Opportunity for growth
• 401(k) program with 6% employer match
• Employee Stock Purchase Program with 15% discount
• Student loan repayment program up to $10k
• Company paid life and disability plans
• Generous paid time off
• Comprehensive medical, dental and vision coverage