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Highest Paying Data Science Jobs (2025)

August 3, 2025
7 mins read

Highest Paying Data Science Jobs (2025)

Curious about which data science jobs pay the most in 2025? Whether you’re new to the field or an experienced analyst, this guide will break down the roles, salaries, and what you need to land these coveted positions.

Quick Summary Table

RoleTypical US Salary RangeTop Companies Hiring
Director of Data Science$200K – $350K+Google, Meta, Netflix
Machine Learning Engineer$150K – $275KAmazon, Tesla, Nvidia
Data Science Manager$160K – $250KApple, LinkedIn, Stripe
Data Architect$155K – $225KSnowflake, IBM, AWS
AI Research Scientist$170K – $300K+OpenAI, DeepMind, Meta
Quantitative Analyst (FinTech)$140K – $260KTwo Sigma, Citadel
NLP Engineer$145K – $220KMicrosoft, HuggingFace
Senior Data Engineer$140K – $200KShopify, Uber, Salesforce
Analytics Lead$130K – $180KDoorDash, Airbnb

Note: Salaries based on latest US/UK/AU market data (2025, source: LinkedIn, Hays, Morgan McKinley).


What Makes These Roles So Lucrative?

  • Impact: These positions drive core product, AI, or revenue strategy.
  • Skills Scarcity: Require advanced technical and business skills.
  • Experience: Many require 3–7+ years in data roles, plus specialized domain knowledge.

Must-Have Skills for High-Paying Data Roles

  • Advanced SQL & Python (or R, Scala)
  • Cloud Data Platforms (AWS, GCP, Azure)
  • Machine Learning & Deep Learning
  • Data Architecture & Modeling
  • Business/Stakeholder Communication

Tips to Land a Top-Paying Data Science Job

  1. Tailor your resume to the job description—highlight domain and leadership experience.
  2. Build a portfolio with real projects (GitHub, Kaggle).
  3. Practice mock interviews for both technical and behavioral questions.
  4. Research salary bands at target companies using Glassdoor and Levels.fyi.
  5. Network—attend data meetups, engage on LinkedIn.

💡 Try InterviewQs free: Get a custom prep plan for any of these roles. Start practicing today →


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