Senior Data Scientist
About The Position
When you work at Nasdaq, you’re working for more open and transparent markets so that more people can access opportunities. Connections can be made, jobs can be created, and communities can thrive. We want all our employees to have access to opportunity, too. That means planning for career growth, ensuring you have the tools you need, and promoting an inclusive culture where we’re all valued for our outstanding perspective. Here, you will work for a global tech leader committed to breaking down barriers to inclusive prosperity. We see technology as a means to free people up to work together more efficiently and effectively by centralizing data, analytics, and market intelligence. As a Senior Data Science at Nasdaq, you will join a specialized team of AI researchers pushing the boundaries of AI innovation towards enhancing market transparency, efficiency, and integrity. You will join a team of skilled data scientists, collaborate with cross-functional teams, and support the development of data-driven solutions to address complex challenges in the financial industry.
Requirements
- 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)
Nice To Haves
- 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)
Responsibilities
- 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.
Benefits
- 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
- Health spending account with employer contribution
- Paid flex days to support mental wellbeing
- Gym membership discounts
- Hybrid home/office schedule (for most positions)
- Paid parental leave
- Fertility benefits
- Paid bereavement leave
- Company gift matching program
- Employee resource groups
- Paid volunteer days
- Education Assistance Program
- Robust job skills training and Professional development opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
