Senior Data Scientist & Data Engineer - AI Pipelines

Dorado; United States; Remote; USD 140,000 - 220,000; Full time

Job summary

Mercor is collaborating with a premier AI research lab on a project to advance how AI systems solve real-world data science and data engineering tasks. We seek senior data scientists and data engineers with experience at leading tech, quant or financial firms to train and evaluate frontier AI models.

Roles are open to candidates in the United States, United Kingdom, Canada, Australia or New Zealand, and require strong Python, SQL, statistical modeling, ML, experimentation and causal inference

Qualifications

• 4+ years of professional data science, data engineering or ML experience.
• Experience at top technology, quantitative or financial firms.
• Strong command of Python, SQL, statistical modeling, ML, experimentation and causal inference.

Responsibilities

• Design realistic data science and data engineering tasks, including exploratory analyses, modeling, ML pipelines and ETL.
• Define precise, task-specific criteria for deliverables in data science and data engineering.
• Ensure assessments are reproducible and defensible, with structured feedback from senior reviewers.

Skills

Python

SQL

Statistical modeling

Machine learning

Experimentation

Causal inference

Written English

Education

Bachelor's degree

Job description

Mercor is collaborating with a premier AI research lab on a project to advance how AI systems solve real-world data science and data engineering tasks. We seek senior data scientists and data engineers with experience at leading tech, quant or financial firms to train and evaluate frontier AI models.

Roles are open to candidates in the United States, United Kingdom, Canada, Australia or New Zealand, and require strong Python, SQL, statistical modeling, ML, experimentation and causal inference