Data Scientist - Graduate

Nasdaq

Last Updated: 7/6/2026 1:48:04 PM

Position Closed

Live Market Data for this Exact Role

These metrics reveal the true, unfiltered history of this specific position. We track the exact number of days the requisition has been active and monitor real salary range fluctuations over time, helping you verify compensation trends before applying.

Current Days Open
47
Reqs Seen
2
Current Min Salary
$84,000.00 (Yearly)
Current Max Salary
$147,000.00 (Yearly)
Historical Time to Fill
53.5
First Seen
3/13/2026
Lowest Min Salary Seen
$84,000.00 (Yearly)
7/6/2026
Highest Max Salary Seen
$147,000.00 (Yearly)
7/6/2026

Full Job Description

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. 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 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. Nice to have: 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. 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. What We Offer Were 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 Nasdaqs overall success. The base pay range for this role is $84,000 - $147,000. 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, education/training, business needs and market demands. Nasdaqs programs and rewards are intended to allow our employees to: Secure Wealth: 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 Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities For more information, visit Nasdaq Benefits & Rewards Career page. At Nasdaq, were proud to be the engine behind the worlds capital markets. But we dont stop there. We build the technology that drives transparency, trust, and accesshelping economies grow and people thrive. Our purpose is to advance economic progress for all. Whether youre a client, a colleague, or part of our broader community, were here to move marketsand possibilitiesforward. Join our Talent Community to stay in the loop on upcoming roles, events, and new opportunities across Nasdaq. Our hybrid work model, NasdaqBlend, gives you flexibility to do your best workwhether thats from home, in the office, or a mix of both. Check the job listing or reach out to our team for role-specific details. Were a global team of over 8,500 innovators across 38 countries, united by a shared purpose: advancing economic progress for all. Its not just what we doits how we do it, together. Want a deeper look into our culture? Explore our Culture Book. We support your success through You&Q, our total rewards program that covers every dimension of lifefrom building wealth and growing your career to prioritizing well-being and family care. Join the Team Advancing Economic Progress for All.

Similarity vs. Compensation Matrix

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