Data Scientist - Graduate

Nasdaq • Boston, MA

1d • $84,000 - $147,000 • Hybrid

About The Position

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.

Requirements

• 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 Haves

• 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)

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 1,001-5,000 employees