Data Scientist

As a Data Scientist, you will build predictive models and machine learning solutions for Nasdaq's eVestment products, driving business decisions across technology platforms. This role involves transforming complex data into actionable insights, working at the intersection of data engineering, product development, and AI innovation. You will design, train, and validate models, clean and preprocess large datasets, implement AI solutions including NLP and computer vision, and collaborate with engineers and product managers to translate requirements into technical solutions. Monitoring model performance and iterating for accuracy is also key.

Must Have

• Design, train, and validate predictive models and machine learning algorithms.
• Clean, preprocess, and analyze large datasets.
• Implement AI solutions including NLP and computer vision applications.
• Create informative features from raw data.
• Collaborate with data engineers and product managers.
• Monitor model performance in production, identify data drift, and iterate.
• 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.
• Proficiency in Python and ability to write complex SQL queries.
• Experience with ML and AI frameworks: Scikit-learn, XGBoost, Statsmod, PyTorch, Keras, Hugging Face Transformers, LangChain, Anthropic APIs.
• Experience with Data Manipulation libraries: Pandas, NumPy, SQL.
• Clear communicator with strong collaboration skills.

Good to Have

• Prior experience in financial services, fintech, or capital markets.

Perks & 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
• 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
• Professional development opportunities

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.

Key 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.

Required Qualifications

• 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.

This position will be located in Atlanta 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 positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

What We Offer

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.

In addition to base salary, Nasdaq offers significant other compensation (annual bonus/commissions and equity), 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.

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 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

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