Senior Data Scientist

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.

What you will 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 we expect

• 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.

Nice to have

You will stand out from the other candidates if you have any of the following :

• Work experience in a corporate environment or finance / fintech industry

• Experience with Deep Learning

• Experience with GenAI (LLMs, RAG workflows, AI Agents, Lang Chain, Llama Index, 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)

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and / or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

What We Offer

We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.

The base pay range for this role is $95,000 - $166,000. In addition to base salary, Nasdaq provides a generous annual bonus / commission (short‑term incentive), and equity (long‑term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job‑related factors that are unique to each candidate, including but not limited to : skill set, experience,…