Machine Learning Engineer (Data Scientist)

Bold Metrics; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-first role for Brazil

Office access in São Paulo (optional)

Job summary

Bold Metrics is seeking a remote Data Scientist to advance ML products for retail and personalized commerce. You will validate data, explore patterns, develop and operate models, and partner with engineering and customer teams to turn analysis into product improvements.

The role supports candidates in Brazil, with an optional São Paulo office. Ideal candidates have 3+ years in data science and ML, strong Python/SQL skills, and experience with A/B testing, causal inference, and AWS.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.
• 3+ years in data science, ML, and DL.
• 4+ years in Python and SQL.
• Hands-on knowledge of A/B testing and causal inference.
• Extensive experience with AWS cloud services.
• Proficiency in MLOps including deployment and monitoring.
• Experience using Docker and Git.

Responsibilities

• Use analytics, experimentation, forecasting, and ML to guide product and growth decisions.
• Develop, deploy, and improve ML models and causal inference methods at scale.
• Design experiments and analyses to measure product performance and identify improvements.
• Build and maintain automated, scalable pipelines for reporting, visualization, analytics, and ML.
• Help manage the ML platform, including dependable development and deployment workflows.
• Validate incoming data and collaborate with technical and customer-facing teams to support delivery quality.

Skills

Python

SQL

Machine learning

Deep learning

A/B testing

Causal inference

MLOps

AWS

Docker

Git

Education

Bachelor's or Master's in mathematics, computer science, engineering, or related discipline

Tools

Docker

Git

AWS

Job description

Role overview

This remote data science role supports machine learning products used in retail and personalized commerce. The engineer will validate data flows, investigate patterns, develop and operate models, and partner with engineering, data, and customer-facing teams to turn analysis into reliable product improvements. The role is intended for someone working from Brazil; people based in São Paulo may use an office when needed.

Responsibilities

• Use analytics, experimentation, forecasting, and machine learning to guide product and growth decisions.
• Develop, deploy, and improve machine learning models and causal inference methods at scale.
• Design experiments and analyses that measure product performance and identify improvements.
• Build and maintain automated, scalable pipelines for reporting, visualization, analytics, and machine learning.
• Help manage the machine learning platform, including dependable development and deployment workflows.
• Validate incoming data and collaborate across technical and customer-facing teams to support delivery quality.

Requirements

• Bachelor's or master's degree in mathematics, computer science, engineering, or a related discipline.
• More than three years of practical experience in data science, machine learning, and deep learning.
• At least four years of strong Python and SQL experience.
• Hands-on knowledge of A/B testing and causal inference.
• Extensive experience with AWS cloud services.
• Proficiency in MLOps, including model deployment and monitoring.
• Experience using Docker for containers and Git for version control.

Benefits and work setup

• Remote-first role for candidates located in Brazil.
• Optional access to an office in São Paulo when required.