> Markdown version of [/jobs/ext/4013596-senior-data-scientist-ai-expert](https://www.wearedevelopers.com/jobs/ext/4013596-senior-data-scientist-ai-expert). 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). --- # Senior Data Scientist - AI Expert - **Company:** Mercor, Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $249,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Databases, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, SQL Databases, Data Management, Machine Learning Operations, Data Pipelines - **Published:** October 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-data-scientist-ai-expert-san-francisco-ca--780014eb-a622-4c9e-bacb-8bea32273038 ## About the Role Data Science, Artificial Intelligence (AI), Artificial Intelligence (AI), Benchmarking, Research Laboratory, Data Science, Database Extract Transform and Load (ETL), Statistical Modeling, Machine Learning, Data Management, Must-Have * 4+ years of professional data science, data engineering, or machine learning experience. * Strong command of Python, SQL, statistical modeling, machine learning, experimentation, and causal inference. * Proven ability to turn messy real-world data into rigorous analyses and reliable pipelines. * Excellent written English, including the ability to explain technical findings clearly. * Bachelor's degree from an English-speaking country. * Detail-oriented, consistent approach to evaluating complex work. ## Description * Design realistic, challenging data science and data engineering tasks, including exploratory analyses, statistical modeling, machine learning pipelines, ETL, and data pipeline design. * Illustrate "what good looks like" by writing precise, task-specific criteria for data science and data engineering deliverables. * Apply consistent, evidence-based judgment to ensure assessments are reproducible and defensible. * Take structured feedback from senior reviewers and iterate on submitted work. * Train and evaluate frontier AI models using expertise from top technology, quantitative, or financial firms. * Work independently and asynchronously to improve AI model performance.