Data Scientist

Nasdaq • Atlanta, GA

10d • Hybrid

About The Position

As a Data Scientist reporting to the Senior Director of Data Science, you'll play a critical role in building predictive models and machine learning solutions that support Nasdaq's eVestment products and drive business decisions across our technology platforms. You will transform complex data into actionable insights, working at the intersection of data engineering, product development, and AI innovation. You'll thrive in this position if you're analytical, curious, and passionate about applying statistical and machine learning techniques to solve real-world problems in a fast-paced, global environment.

Requirements

• Bachelor's or Master's degree in computer science, statistics, mathematics, data science, physics, or related field, or equivalent practical experience.
• 2–5 years of experience in a data-centric role such as data analyst, data scientist, or research assistant.
• Proficiency in Python and ability to write complex SQL queries for data extraction and manipulation.
• ML and AI: Scikit-learn, XGBoost, Statsmod, PyTorch, Keras, Hugging Face Transformers, LangChain, Anthropic APIs.
• Data Manipulation: Pandas, NumPy, SQL
• Clear communicator with strong collaboration skills across technical and business teams.
• Prior experience in financial services, fintech, or capital markets.

Responsibilities

• Design, train, and validate predictive models and machine learning algorithms to solve business challenges.
• Clean, preprocess, and analyze large datasets to ensure data quality and extract meaningful insights.
• Implement AI solutions including NLP and computer vision applications, leveraging pre-trained models and vector databases.
• Create informative features from raw data to improve model performance and interpretability.
• Collaborate with data engineers and product managers to translate business requirements into technical solutions.
• Monitor model performance in production, identify data drift, and iterate to improve accuracy and reduce bias.

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: Mid Level
• Number of Employees: 5,001-10,000 employees