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.
Requirements
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.
Benefits
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.Nasdaq's 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 offPrioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discountsCare for Family : Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leaveConnect with Community: Company gift matching program, Employee resource groups, Paid volunteer daysGrow Career: Education Assistance Program, Robust job skills training and Professional development opportunitiesFor more information, visit Nasdaq Benefits & Rewards Career page .Health insuranceDental insuranceVision insurance401(k)Equity / stock optionsPerformance bonusParental leave
Additional Information
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.
Nasdaq · US