> Markdown version of [/jobs/ext/2187947-data-science-expert-ai-ml](https://www.wearedevelopers.com/jobs/ext/2187947-data-science-expert-ai-ml). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science Expert - AI/ML - **Company:** Mercor, Inc. - **Location:** New York, NY, United States (Remote available) - **Salary:** $124,800.0 - $187,200.0 - **Contract:** Contract - **Skills:** Artificial Intelligence, Data Analysis, Data Cleansing, Statistical Hypothesis Testing, Python (Programming Language), NumPy, Jupyter Notebook, Enterprise Software Applications, Model Validation, Git, Pandas - **Published:** August 22, 2026 - **Apply:** https://www.careerjet.com/jobad/us583854017b6339a36fdeceba99bcb850 ## About the Role * MSc or PhD in statistics, data science, or a quantitative STEM field. * 1+ years of experience in research, research-engineering, or data-analysis roles. * Proficiency in Python (pandas, NumPy) and Git. * Strong data-analysis skills: data cleaning, statistical correlation, hypothesis testing. * Ability to communicate analytical findings effectively in writing. Preferred * Experience in AI training, model evaluation, or benchmark/task authoring. * High attention to detail and creativity in task design., Organizational Unit: IIE Organization -> IIE US -> Enterprise Systems Schedule: Full Time Education: Bachelor's Degree Location: New York NY - New York, NY 10007 US (Pr… + 15 days ago ## Description * Design complex analysis tasks to simulate real research work, including data cleaning, statistical analysis, and clear reporting. * Author reproducible reference analyses using Jupyter Notebooks or Google Colab. * Compare analytical methods through tasks that involve spot checks and provide clear recommendations. * Evaluate model performance on tasks, ensuring statistics and conclusions are robust. * Collaborate with researchers to maintain consistent and accurate evaluations., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)