Senior Data Scientist

Nasdaq

Hybrid

Quick summary

Work type: Hybrid
Location: Boston, MA
Salary: $95,000–$166,000 / yr
Posted: 165 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $156k

This role $130k

$81k most similar roles pay here $222k

This role pays less than 70% of similar roles. Most pay $126,800–$185,527 — the shaded band above. At the midpoint, this role pays about $130k versus about $156k for comparable roles.

Based on 240 similar postings.

Employer

About Nasdaq

Nasdaq is a global technology company serving the capital markets and other industries through its market infrastructure, marketplace technology, and data analytics and insights solutions. Industry: Financial Exchanges & Market Technology

Nasdaq currently has 6 open roles on FindRole.

Listed pay typically runs $95,000–$166,000 across 5 roles with salary data.

Most-posted roles

View all roles at Nasdaq

At a glance

TL;DR · Senior Data Scientist

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As a Senior Data Scientist at Nasdaq, you will join a team of AI researchers dedicated to enhancing market transparency and efficiency through innovative data-driven solutions. Your responsibilities include designing and implementing AI/ML models across the enterprise, communicating project progress and insights effectively with non-technical stakeholders, and collaborating closely with cross-functional teams to address complex challenges in finance. You should have 1-3 years of experience in a related field, proficiency in Python and SQL, and a strong grasp of statistical fundamentals and deep learning concepts such as CNNs and RNNs. Experience in the fintech industry or with generative AI tools like LLMs is beneficial but not required. This role offers a hybrid work environment in Boston, focusing on advancing Nasdaq’s mission to create more open and transparent markets globally.

Skills

Python SQL Deep Learning CNNs RNNs Transformers Statistics Machine Learning Data Manipulation High-Volume Data Complex Environments GenAI LLMs RAG Workflows LangChain OpenAI SDK

What you'll do

Design and architect AI/ML solutions across the enterprise.
Provide regular updates on project progress to key stakeholders.
Present data-driven insights to non-technical partners clearly.
Engage with business stakeholders to understand objectives.
Manipulate high-volume data in complex environments efficiently.

What we're looking for

1-3 years of experience in Data Science or related field
Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or equivalent
Strong understanding of statistics and machine learning fundamentals
Experience with deep learning techniques and models
Proficiency in Python and SQL for data manipulation
Excellent communication skills to present technical insights clearly
Industry experience in finance or fintech preferred

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