Data Scientist - Graduate

Data Scientist At Nasdaq, you'll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you'll support our data science team and gain hands-on experience working with complex datasets that power global financial markets. You don't need to know everything on day one — we'll help you build the skills, confidence, and network to grow your career.

: • 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 • Advanced degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or another technical field. • Understanding of the fundamentals of Statistics & Machine Learning (hypothesis testing, p-values, confidence intervals, regression, classification, optimization). • Demonstrated experience with deep learning (CNNs, RNNs, transformers and other types of Deep Neural Networks) and working knowledge of one of the main deep learning libraries (PyTorch, Tensorflow, Jax) • 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.

: • Work experience in a corporate environment or finance/fintech industry • Demonstrated interest in finance and/or market microstructure • Industry experience with Deep Learning models and methods (Deep Learning Life cycle – from Problem Definition to Model Evaluation and Monitoring) This position will be located in Boston and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates. Applicants must be authorized to work in the United States without the need for employment‑based visa sponsorship now or in the future. Nasdaq will not sponsor applicants for employment‑based visa status for this position. Come as You Are Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities. We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated. We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.