Remote ML Data Scientist — Build scalable models

BairesDev; Chile; Remote; CLP 88,322,000 - 117,763,000; Full time

Benefits offered by this job

100% remote work

Competitive USD compensation

Home office setup

Flexible hours

Paid parental leaves

Job summary

BairesDev is seeking a Machine Learning Data Scientist to design, develop, and deploy advanced analytical models that solve complex business problems. You will translate raw data into actionable insights, driving data-informed decisions and enhancing predictive capabilities across the organization.

You will design end-to-end ML pipelines, conduct thorough data analysis, and collaborate with cross-functional teams to integrate models into production systems.

Qualifications

• 5+ years of experience in Data Science, Machine Learning, or a related quantitative field.
• Proven ability to develop, test and deploy ML models.
• Advanced Python and scikit-learn expertise.
• Strong data cleaning, statistical analysis and exploratory data analysis.
• Excellent English communication skills.

Responsibilities

• Design and implement end-to-end ML pipelines from data ingestion to deployment.
• Perform statistical analysis and exploratory data analysis to uncover data patterns.
• Clean, preprocess and engineer features for modeling.
• Evaluate model performance and optimize algorithms for scalability and accuracy.
• Collaborate with cross-functional teams to productionize predictive models.

Skills

Python

Data Cleaning

Statistical analysis

Exploratory data analysis

English proficiency

Tools

scikit-learn

Job description

BairesDev is seeking a Machine Learning Data Scientist to design, develop, and deploy advanced analytical models that solve complex business problems. You will translate raw data into actionable insights, driving data-informed decisions and enhancing predictive capabilities across the organization.

You will design end-to-end ML pipelines, conduct thorough data analysis, and collaborate with cross-functional teams to integrate models into production systems.